Articles | Volume 20, issue 2
https://doi.org/10.5194/acp-20-881-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-881-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Jan 2020
Research article |
| 23 Jan 2020
| 23 Jan 2020
Air pollution slows down surface warming over the Tibetan Plateau
Aolin Jia
Department of Geographical Sciences, University of Maryland, College
Park, MD 20742, USA
Department of Geographical Sciences, University of Maryland, College
Park, MD 20742, USA
Dongdong Wang
Department of Geographical Sciences, University of Maryland, College
Park, MD 20742, USA
Bo Jiang
State Key Laboratory of Remote Sensing Science, Faculty of
Geographical Science, Beijing Normal University, Beijing, 10085, China
Xiaotong Zhang
State Key Laboratory of Remote Sensing Science, Faculty of
Geographical Science, Beijing Normal University, Beijing, 10085, China
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Q. Shi and S. Liang
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D. C. Morton, G. J. Collatz, D. Wang, J. T. Randerson, L. Giglio, and Y. Chen
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Related subject area
Subject: Radiation | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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The calibration of Earth observation sensors is key to ensuring the continuity of long-term and global climate records. Satellite sensors, calibrated prior to launch, are susceptible to degradation in space. The Moon provides a stable calibration reference; however, its illumination depends on the Sun–Earth–Moon geometry and must be modelled. A new lunar irradiance model is presented, built upon observations over 5 years at a high-altitude observatory and a rigorous calibration and validation.
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Clouds play a critical role in our climate system. At present and in the near future, satellite-based remote sensing is the only means to obtain regional and global observations of cloud properties. The current satellite remote sensing algorithms are mostly based on the so-called 1D radiative transfer. This deviation from the 3D world reality can lead to large errors. In this study we investigate how this error affects our estimation of cloud radiative effects.
Johannes Röttenbacher, André Ehrlich, Hanno Müller, Florian Ewald, Anna E. Luebke, Benjamin Kirbus, Robin J. Hogan, and Manfred Wendisch
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Weather prediction models simplify the physical processes related to light scattering by clouds consisting of complex ice crystals. Whether these simplifications are the cause for uncertainties in their prediction can be evaluated by comparing them with measurement data. Here we do this for Arctic ice clouds over sea ice using airborne measurements from two case studies. The model performs good for thick ice clouds but not so good for thin ones. This work can be used to improve the model.
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In this paper, all-sky downwelling shortwave radiation (DSR) over the entire Tibetan Plateau (TP) at a spatial resolution of 1 km was estimated using an improved parameterization scheme. The influence of topography and different radiative attenuations were comprehensively taken into account. The derived DSR showed good agreement with in situ measurements. The accuracy was better than six other DSR products. The derived DSR also provided more reasonable and detailed spatial patterns.
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This article describes an intercomparison of radiative fluxes and cloud properties from satellite, shipborne observations, and 1D radiative transfer simulations. The analysis focuses on research for PS106 expedition aboard the German research vessel, Polarstern. The results are presented in detailed case studies, time series for the PS106 cruise and extended to the central Arctic region. The findings illustrate the main periods of agreement and discrepancies of both points of view.
Yinghui Liu
Atmos. Chem. Phys., 22, 8151–8173, https://doi.org/10.5194/acp-22-8151-2022, https://doi.org/10.5194/acp-22-8151-2022, 2022
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Cloud detection from state-of-art satellite radar and lidar misses low-level clouds. Using in situ observations, this study confirms this cloud detection limitation over the Arctic Ocean. Impacts of this detection limitation from combined satellite radar and lidar on the monthly mean radiation flux estimations at the surface and at the top of the atmosphere in the Arctic are limited but larger from only satellite radar or satellite lidar in monthly mean and instantaneous values.
Babak Jahani, Hendrik Andersen, Josep Calbó, Josep-Abel González, and Jan Cermak
Atmos. Chem. Phys., 22, 1483–1494, https://doi.org/10.5194/acp-22-1483-2022, https://doi.org/10.5194/acp-22-1483-2022, 2022
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The change in the state of sky from cloudy to cloudless (or vice versa) comprises an additional phase called
transition zonewith characteristics laying between those of aerosols and clouds. This study presents an approach for the quantification of the broadband longwave radiative effects of the cloud–aerosol transition zone at the top of the atmosphere during daytime over the ocean based on satellite observations and radiative transfer simulations.
William Cossich, Tiziano Maestri, Davide Magurno, Michele Martinazzo, Gianluca Di Natale, Luca Palchetti, Giovanni Bianchini, and Massimo Del Guasta
Atmos. Chem. Phys., 21, 13811–13833, https://doi.org/10.5194/acp-21-13811-2021, https://doi.org/10.5194/acp-21-13811-2021, 2021
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The presence of clouds over Concordia, in the Antarctic Plateau, is investigated. Results are obtained by applying a machine learning algorithm to measurements of the infrared radiation emitted by the atmosphere toward the surface. The clear-sky, ice cloud, and mixed-phase cloud occurrence at different timescales is studied. A comparison with satellite measurements highlights the ability of the algorithm to identify multiple cloud conditions and study their variability at different timescales.
Ina Neher, Susanne Crewell, Stefanie Meilinger, Uwe Pfeifroth, and Jörg Trentmann
Atmos. Chem. Phys., 20, 12871–12888, https://doi.org/10.5194/acp-20-12871-2020, https://doi.org/10.5194/acp-20-12871-2020, 2020
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Photovoltaic power is one current option to meet the rising energy demand with low environmental impact. Global horizontal irradiance (GHI) is the fuel for photovoltaic power installations and needs to be evaluated to plan and dimension power plants. In this study, 35 years of satellite-based GHI data are analyzed over West Africa to determine their impact on photovoltaic power generation. The major challenges for the development of a solar-based power system in West Africa are then outlined.
Eamon K. Conway, Iouli E. Gordon, Jonathan Tennyson, Oleg L. Polyansky, Sergei N. Yurchenko, and Kelly Chance
Atmos. Chem. Phys., 20, 10015–10027, https://doi.org/10.5194/acp-20-10015-2020, https://doi.org/10.5194/acp-20-10015-2020, 2020
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Water vapour has a complex spectrum and absorbs from the microwave to the near-UV where it dissociates. There is limited knowledge of the absorption features in the near-UV, and there is a large disagreement for the available models and experiments. We created a new ab initio model that is in good agreement with observation at 363 nm. At lower wavelengths, our calculations suggest that the latest experiments overestimate absorption. This has implications for trace gas retrievals in the near-UV.
Jay Herman, Alexander Cede, Liang Huang, Jerald Ziemke, Omar Torres, Nickolay Krotkov, Matthew Kowalewski, and Karin Blank
Atmos. Chem. Phys., 20, 8351–8380, https://doi.org/10.5194/acp-20-8351-2020, https://doi.org/10.5194/acp-20-8351-2020, 2020
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The amount of erythemal irradiance reaching the Earth's surface has been calculated from ozone, aerosol, and reflectivity data obtained from OMI and DSCOVR/EPIC satellite instruments showing areas with high levels of solar UV radiation. Changes in erythemal irradiance, cloud transmission, aerosol transmission, and ozone absorption have been estimated for 14 years 2005–2018 in units of percent per year for 191 locations, mostly large cities, and from EPIC for the entire illuminated Earth.
Rong Tang, Xin Huang, Derong Zhou, and Aijun Ding
Atmos. Chem. Phys., 20, 6177–6191, https://doi.org/10.5194/acp-20-6177-2020, https://doi.org/10.5194/acp-20-6177-2020, 2020
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Biomass-burning-induced large areas of dark char (i.e.
surface darkening) could influence the radiative energy balance. During the harvest season in eastern China, satellite retrieval shows that surface albedo was significantly decreased. Observational evidence of meteorological perturbations from the surface darkening is identified, which is further examined by model simulation. This work highlights the importance of burning-induced albedo change in weather forecast and regional climate.
Lei Zhong, Yaoming Ma, Zeyong Hu, Yunfei Fu, Yuanyuan Hu, Xian Wang, Meilin Cheng, and Nan Ge
Atmos. Chem. Phys., 19, 5529–5541, https://doi.org/10.5194/acp-19-5529-2019, https://doi.org/10.5194/acp-19-5529-2019, 2019
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Fine-temporal-resolution turbulent heat fluxes at the plateau scale have significant importance for studying diurnal variation characteristics of atmospheric boundary and weather systems in the Tibetan Plateau (TP) and its surroundings. Time series of land surface heat fluxes with high temporal resolution over the entire TP were derived. The derived surface heat fluxes proved to be in good agreement with in situ measurements and were superior to GLDAS flux products.
Meloë S. Kacenelenbogen, Mark A. Vaughan, Jens Redemann, Stuart A. Young, Zhaoyan Liu, Yongxiang Hu, Ali H. Omar, Samuel LeBlanc, Yohei Shinozuka, John Livingston, Qin Zhang, and Kathleen A. Powell
Atmos. Chem. Phys., 19, 4933–4962, https://doi.org/10.5194/acp-19-4933-2019, https://doi.org/10.5194/acp-19-4933-2019, 2019
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Significant efforts are required to estimate the direct radiative effects of aerosols above clouds (DAREcloudy). We have used a combination of passive and active A-Train satellite sensors and derive mainly positive global and regional DAREcloudy values (e.g., global seasonal values between 0.13 and 0.26 W m-2). Despite differences in methods and sensors, the DAREcloudy values in this study are generally higher than previously reported. We discuss the primary reasons for these higher estimates.
Domenico Cimini, Philip W. Rosenkranz, Mikhail Y. Tretyakov, Maksim A. Koshelev, and Filomena Romano
Atmos. Chem. Phys., 18, 15231–15259, https://doi.org/10.5194/acp-18-15231-2018, https://doi.org/10.5194/acp-18-15231-2018, 2018
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The paper presents a general approach to quantify the uncertainty related to atmospheric absorption models. These models describe how the atmosphere interacts with radiation, and they have general implications for atmospheric sciences.
The presented approach contributes to a better understanding of the total uncertainty affecting atmospheric radiative properties, thus reducing the chances of systematic errors when observations are exploited for weather forecast or climate trend derivations.
Michael Schäfer, Katharina Loewe, André Ehrlich, Corinna Hoose, and Manfred Wendisch
Atmos. Chem. Phys., 18, 13115–13133, https://doi.org/10.5194/acp-18-13115-2018, https://doi.org/10.5194/acp-18-13115-2018, 2018
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Airborne observed horizontal fields of cloud optical thickness are compared with semi-idealized large eddy simulations of Arctic stratus. The comparison focuses on horizontal cloud inhomogeneities and directional features of the small-scale cloud structures. Using inhomogeneity parameters and autocorrelation analysis it is investigated, if the observed small-scale cloud inhomogeneities can be represented by the model. Forcings for cloud inhomogeneities are investigated in a sensitivity study.
Qianqian Song, Zhibo Zhang, Hongbin Yu, Seiji Kato, Ping Yang, Peter Colarco, Lorraine A. Remer, and Claire L. Ryder
Atmos. Chem. Phys., 18, 11303–11322, https://doi.org/10.5194/acp-18-11303-2018, https://doi.org/10.5194/acp-18-11303-2018, 2018
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Mineral dust is the most abundant atmospheric aerosol component in terms of dry mass. In this study, we integrate recent aircraft measurements of dust microphysical and optical properties with satellite retrievals of aerosol and radiative fluxes to quantify the dust direct radiative effects on the shortwave and longwave radiation at both the top of the atmosphere and the surface in the tropical North Atlantic during summer months.
Shu-Peng Ho, Liang Peng, Carl Mears, and Richard A. Anthes
Atmos. Chem. Phys., 18, 259–274, https://doi.org/10.5194/acp-18-259-2018, https://doi.org/10.5194/acp-18-259-2018, 2018
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In this study, we compare 7 years of atmospheric total precipitable water (TPW) derived from multiple microwave radiometers to collocated TPW estimates derived from COSMIC radio occultation under various atmospheric conditions over the oceans. Results show that these two TPW trends from independent observations are larger than previous estimates and are a strong indication of the positive water vapor–temperature feedback on a warming planet.
Anna Mackie, Paul I. Palmer, and Helen Brindley
Atmos. Chem. Phys., 17, 15095–15119, https://doi.org/10.5194/acp-17-15095-2017, https://doi.org/10.5194/acp-17-15095-2017, 2017
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We compare the balance of solar and thermal radiation at the surface and the top of the atmosphere from a forecasting model to observations at a site in Niamey, Niger, in the Sahel. To interpret the energy budgets we examine other factors, such as cloud properties, water vapour and aerosols, which we use to understand the differences between the observation and model. We find that some differences are linked to lack of ice in clouds, underestimated aerosol loading and surface temperatures.
Thomas Fauchez, Steven Platnick, Kerry Meyer, Céline Cornet, Frédéric Szczap, and Tamás Várnai
Atmos. Chem. Phys., 17, 8489–8508, https://doi.org/10.5194/acp-17-8489-2017, https://doi.org/10.5194/acp-17-8489-2017, 2017
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This study presents impact of cirrus cloud horizontal heterogeneity on simulated thermal infrared brightness temperatures at the top of the atmosphere for spatial resolutions ranging from 50 m to 10 km. The cirrus is generated by the 3DCLOUD code and the radiative transfer by the 3DMCPOL code. Brightness temperatures are mostly impacted by the horizontal transport effect and plane-parallel bias at high and coarse spatial resolutions, respectively, with a minimum around 100 m–250 m.
Zhao-Cheng Zeng, Qiong Zhang, Vijay Natraj, Jack S. Margolis, Run-Lie Shia, Sally Newman, Dejian Fu, Thomas J. Pongetti, Kam W. Wong, Stanley P. Sander, Paul O. Wennberg, and Yuk L. Yung
Atmos. Chem. Phys., 17, 2495–2508, https://doi.org/10.5194/acp-17-2495-2017, https://doi.org/10.5194/acp-17-2495-2017, 2017
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We propose a novel approach to describing the scattering effects of atmospheric aerosols using H2O retrievals in the near infrared. We found that the aerosol scattering effect is the primary contributor to the variations in the wavelength dependence of the H2O SCD retrievals and the scattering effects can be derived using H2O retrievals from multiple bands. This proposed method could potentially contribute towards reducing biases in greenhouse gas retrievals from space.
Michael Schäfer, Eike Bierwirth, André Ehrlich, Evelyn Jäkel, Frank Werner, and Manfred Wendisch
Atmos. Chem. Phys., 17, 2359–2372, https://doi.org/10.5194/acp-17-2359-2017, https://doi.org/10.5194/acp-17-2359-2017, 2017
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Cloud optical thickness fields, retrieved from solar spectral radiance measurements, are used to investigate the directional structure of horizontal cloud inhomogeneities with scalar one-dimensional inhomogeneity parameters, two-dimensional auto-correlation functions, and two-dimensional Fourier analysis. The investigations reveal that it is not sufficient to quantify horizontal cloud inhomogeneities by one-dimensional inhomogeneity parameters; two-dimensional parameters are necessary.
Quentin Libois, Liviu Ivanescu, Jean-Pierre Blanchet, Hannes Schulz, Heiko Bozem, W. Richard Leaitch, Julia Burkart, Jonathan P. D. Abbatt, Andreas B. Herber, Amir A. Aliabadi, and Éric Girard
Atmos. Chem. Phys., 16, 15689–15707, https://doi.org/10.5194/acp-16-15689-2016, https://doi.org/10.5194/acp-16-15689-2016, 2016
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The first airborne measurements performed with the FIRR are presented. Vertical profiles of upwelling spectral radiance in the far-infrared are measured in the Arctic atmosphere for the first time. They show the impact of the temperature inversion on the radiative budget of the atmosphere, especially in the far-infrared. The presence of ice clouds also significantly alters the far-infrared budget, highlighting the critical interplay between water vapour and clouds in this very dry region.
Jani Huttunen, Harri Kokkola, Tero Mielonen, Mika Esa Juhani Mononen, Antti Lipponen, Juha Reunanen, Anders Vilhelm Lindfors, Santtu Mikkonen, Kari Erkki Juhani Lehtinen, Natalia Kouremeti, Alkiviadis Bais, Harri Niska, and Antti Arola
Atmos. Chem. Phys., 16, 8181–8191, https://doi.org/10.5194/acp-16-8181-2016, https://doi.org/10.5194/acp-16-8181-2016, 2016
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For a good estimate of the current forcing by anthropogenic aerosols, knowledge in past is needed. One option to lengthen time series is to retrieve aerosol optical depth from solar radiation measurements. We have evaluated several methods for this task. Most of the methods produce aerosol optical depth estimates with a good accuracy. However, machine learning methods seem to be the most applicable not to produce any systematic biases, since they do not need constrain the aerosol properties.
Claire Pettersen, Ralf Bennartz, Mark S. Kulie, Aronne J. Merrelli, Matthew D. Shupe, and David D. Turner
Atmos. Chem. Phys., 16, 4743–4756, https://doi.org/10.5194/acp-16-4743-2016, https://doi.org/10.5194/acp-16-4743-2016, 2016
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We examined four summers of data from a ground-based atmospheric science instrument suite at Summit Station, Greenland, to isolate the signature of the ice precipitation. By using a combination of instruments with different specialities, we identified a passive microwave signature of the ice precipitation. This ice signature compares well to models using synthetic data characteristic of the site.
Zhibo Zhang, Kerry Meyer, Hongbin Yu, Steven Platnick, Peter Colarco, Zhaoyan Liu, and Lazaros Oreopoulos
Atmos. Chem. Phys., 16, 2877–2900, https://doi.org/10.5194/acp-16-2877-2016, https://doi.org/10.5194/acp-16-2877-2016, 2016
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The frequency of occurrence and shortwave direct radiative effects (DRE) of above-cloud aerosols (ACAs) over global oceans are investigated using 8 years of collocated CALIOP and MODIS observations. We estimated that ACAs have a global ocean annual mean diurnally averaged cloudy-sky DRE of 0.015 W m−2 (range of −0.03 to 0.06 W m−2) at TOA. The DREs at surface and within atmosphere are −0.15 W m−2 (range of −0.09 to −0.21 W m−2), and 0.17 W m−2 (range of 0.11 to 0.24 W m−2), respectively.
Wenjun Tang, Jun Qin, Kun Yang, Shaomin Liu, Ning Lu, and Xiaolei Niu
Atmos. Chem. Phys., 16, 2543–2557, https://doi.org/10.5194/acp-16-2543-2016, https://doi.org/10.5194/acp-16-2543-2016, 2016
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In this paper, we develop a new method to quickly retrieve high-resolution surface solar radiation (SSR) over China by combining MODIS and MTSAT data. The RMSEs of the retrieved SSR at hourly, daily, and monthly scales are about 98.5, 34.2, and 22.1 W m−2. The accuracy is comparable to or even higher than other two satellite radiation products. Finally, we derive an 8-year high-resolution SSR data set (hourly, 5 km) from 2007 to 2014, which would contribute to studies of land surface processes.
S. Doniki, D. Hurtmans, L. Clarisse, C. Clerbaux, H. M. Worden, K. W. Bowman, and P.-F. Coheur
Atmos. Chem. Phys., 15, 12971–12987, https://doi.org/10.5194/acp-15-12971-2015, https://doi.org/10.5194/acp-15-12971-2015, 2015
W. Sun, R. R. Baize, G. Videen, Y. Hu, and Q. Fu
Atmos. Chem. Phys., 15, 11909–11918, https://doi.org/10.5194/acp-15-11909-2015, https://doi.org/10.5194/acp-15-11909-2015, 2015
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A method is reported for retrieving super-thin cloud optical depth with polarized light. It is found that near-backscatter p-polarized light is sensitive to clouds, but not to ocean conditions. Near-backscatter p-polarized intensity linearly relates to super-thin cloud optical depth. Based on these findings, super-thin cloud optical depth can be retrieved with little effect from surface reflection.
M. Schäfer, E. Bierwirth, A. Ehrlich, E. Jäkel, and M. Wendisch
Atmos. Chem. Phys., 15, 8147–8163, https://doi.org/10.5194/acp-15-8147-2015, https://doi.org/10.5194/acp-15-8147-2015, 2015
W. Sun, R. R. Baize, C. Lukashin, and Y. Hu
Atmos. Chem. Phys., 15, 7725–7734, https://doi.org/10.5194/acp-15-7725-2015, https://doi.org/10.5194/acp-15-7725-2015, 2015
E. C. Turner, H.-T. Lee, and S. F. B. Tett
Atmos. Chem. Phys., 15, 6561–6575, https://doi.org/10.5194/acp-15-6561-2015, https://doi.org/10.5194/acp-15-6561-2015, 2015
M. M. Wonsick, R. T. Pinker, and Y. Ma
Atmos. Chem. Phys., 14, 8749–8761, https://doi.org/10.5194/acp-14-8749-2014, https://doi.org/10.5194/acp-14-8749-2014, 2014
X. Ceamanos, D. Carrer, and J.-L. Roujean
Atmos. Chem. Phys., 14, 8209–8232, https://doi.org/10.5194/acp-14-8209-2014, https://doi.org/10.5194/acp-14-8209-2014, 2014
Q. Shi and S. Liang
Atmos. Chem. Phys., 14, 5659–5677, https://doi.org/10.5194/acp-14-5659-2014, https://doi.org/10.5194/acp-14-5659-2014, 2014
C. Fricke, A. Ehrlich, E. Jäkel, B. Bohn, M. Wirth, and M. Wendisch
Atmos. Chem. Phys., 14, 1943–1958, https://doi.org/10.5194/acp-14-1943-2014, https://doi.org/10.5194/acp-14-1943-2014, 2014
Y. Ma, Z. Zhu, L. Zhong, B. Wang, C. Han, Z. Wang, Y. Wang, L. Lu, P. M. Amatya, W. Ma, and Z. Hu
Atmos. Chem. Phys., 14, 1507–1515, https://doi.org/10.5194/acp-14-1507-2014, https://doi.org/10.5194/acp-14-1507-2014, 2014
W. Sun and C. Lukashin
Atmos. Chem. Phys., 13, 10303–10324, https://doi.org/10.5194/acp-13-10303-2013, https://doi.org/10.5194/acp-13-10303-2013, 2013
L. Shi, C. J. Schreck III, and V. O. John
Atmos. Chem. Phys., 13, 6907–6920, https://doi.org/10.5194/acp-13-6907-2013, https://doi.org/10.5194/acp-13-6907-2013, 2013
M. J. Alvarado, V. H. Payne, E. J. Mlawer, G. Uymin, M. W. Shephard, K. E. Cady-Pereira, J. S. Delamere, and J.-L. Moncet
Atmos. Chem. Phys., 13, 6687–6711, https://doi.org/10.5194/acp-13-6687-2013, https://doi.org/10.5194/acp-13-6687-2013, 2013
T. Várnai, A. Marshak, and W. Yang
Atmos. Chem. Phys., 13, 3899–3908, https://doi.org/10.5194/acp-13-3899-2013, https://doi.org/10.5194/acp-13-3899-2013, 2013
A. Riihelä, T. Manninen, V. Laine, K. Andersson, and F. Kaspar
Atmos. Chem. Phys., 13, 3743–3762, https://doi.org/10.5194/acp-13-3743-2013, https://doi.org/10.5194/acp-13-3743-2013, 2013
Y. L. Roberts, P. Pilewskie, B. C. Kindel, D. R. Feldman, and W. D. Collins
Atmos. Chem. Phys., 13, 3133–3147, https://doi.org/10.5194/acp-13-3133-2013, https://doi.org/10.5194/acp-13-3133-2013, 2013
C. L. Young, I. N. Sokolik, and J. Dufek
Atmos. Chem. Phys., 12, 3699–3715, https://doi.org/10.5194/acp-12-3699-2012, https://doi.org/10.5194/acp-12-3699-2012, 2012
A. Ehrlich, E. Bierwirth, M. Wendisch, A. Herber, and J.-F. Gayet
Atmos. Chem. Phys., 12, 3493–3510, https://doi.org/10.5194/acp-12-3493-2012, https://doi.org/10.5194/acp-12-3493-2012, 2012
E. M. Wilcox
Atmos. Chem. Phys., 12, 139–149, https://doi.org/10.5194/acp-12-139-2012, https://doi.org/10.5194/acp-12-139-2012, 2012
F. Jégou, S. Godin-Beekman, M. P. Corrêa, C. Brogniez, F. Auriol, V. H. Peuch, M. Haeffelin, A. Pazmino, P. Saiag, F. Goutail, and E. Mahé
Atmos. Chem. Phys., 11, 13377–13394, https://doi.org/10.5194/acp-11-13377-2011, https://doi.org/10.5194/acp-11-13377-2011, 2011
Cited articles
Ahmad, S. P., Torres, O., Bhartia, P. K., Leptoukh, G. G., and Kempler, S. J.: Aerosol Index from
TOMS and OMI Measurements, 14th Joint Conference on the Applications of Air Pollution
Meteorology with the Air and Waste Management Assoc., Atlanta, 2006.
Allan, R. P., Liu, C., Loeb, N. G., Palmer, M. D., Roberts, M., Smith, D.,
and Vidale, P. L.: Changes in global net radiative imbalance 1985–2012,
Geophys. Res. Lett., 41, 5588–5597, 2014.
Andreae, M. O., Jones, C. D., and Cox, P. M.: Strong present-day aerosol
cooling implies a hot future, Nature, 435, 1187–1190, https://doi.org/10.1038/nature03671, 2005.
Boos, W. R. and Kuang, Z. M.: Dominant control of the South Asian monsoon
by orographic insulation versus plateau heating, Nature, 463, 218–222,
https://doi.org/10.1038/nature08707, 2010.
Bro, R. and De Jong, S.: A fast non-negativity-constrained least squares
algorithm, J. Chemometr.,
11, 393–401, 1997.
Cai, D. L., You, Q. L., Fraedrich, K., and Guan, Y. N.: Spatiotemporal
Temperature Variability over the Tibetan Plateau: Altitudinal Dependence
Associated with the Global Warming Hiatus, J. Climate, 30, 969–984,
https://doi.org/10.1175/Jcli-D-16-0343.1, 2017.
Cao, J., Tie, X., Xu, B., Zhao, Z., Zhu, C., Li, G., and Liu, S.: Measuring
and modeling black carbon (BC) contamination in the SE Tibetan Plateau,
J. Atmos. Chem., 67, 45, https://doi.org/10.1007/s10874-011-9202-5, 2010.
Carmona, F., Rivas, R., and Caselles, V.: Estimation of daytime downward
longwave radiation under clear and cloudy skies conditions over a sub-humid
region, Theor. Appl. Climatol., 115, 281–295, 2014.
Cheng, J., Liang, S., Yao, Y., Ren, B., Shi, L., and Liu, H.: A comparative
study of three land surface broadband emissivity datasets from satellite
data, Remote Sensing, 6, 111–134, 2014.
Dufresne, J.-L., Foujols, M.-A., Denvil, S., Caubel, A., Marti, O., Aumont,
O., Balkanski, Y., Bekki, S., Bellenger, H., and Benshila, R.: Climate
change projections using the IPSL-CM5 Earth System Model: from CMIP3 to
CMIP5, Clim. Dynam., 40, 2123–2165, 2013.
Evan, A. T., Heidinger, A. K., and Vimont, D. J.: Arguments against a
physical long-term trend in global ISCCP cloud amounts, Geophys. Res.
Lett., 34, L04701, https://doi.org/10.1029/2006GL028083, 2007.
Feng, F. and Wang, K.: Merging satellite retrievals and reanalyses to
produce global long-term and consistent surface incident solar radiation
datasets, Remote Sensing, 10, 115, https://doi.org/10.3390/rs10010115, 2018.
Feng, F. and Wang, K.: Determining factors of monthly to decadal variability in surface solar radiation in China: evidences from current reanalyses, J. Geophys. Res.-Atmos., 124, 9161–9182, 2019.
Feng, H. and Zou, B.: Satellite-based estimation of the aerosol forcing
contribution to the global land surface temperature in the recent decade,
Remote Sens. Environ., 232, 111299, https://doi.org/10.1016/j.rse.2019.111299, 2019.
Franklin, C. N., Sun, Z., Bi, D. H., Dix, M., Yan, H. L., and Bodas-Salcedo,
A.: Evaluation of clouds in ACCESS using the satellite simulator package
COSP: Regime-sorted tropical cloud properties, J. Geophys. Res.-Atmos., 118,
6663–6679, https://doi.org/10.1002/jgrd.50496, 2013.
Fu, R., Hu, Y., Wright, J. S., Jiang, J. H., Dickinson, R. E., Chen, M.,
Filipiak, M., Read, W. G., Waters, J. W., and Wu, D. L.: Short circuit of
water vapor and polluted air to the global stratosphere by convective
transport over the Tibetan Plateau, P. Natl. Acad. Sci. USA, 103,
5664–5669, https://doi.org/10.1073/pnas.0601584103, 2006.
Gao, Y., Zhang, M., Liu, Z., Wang, L., Wang, P., Xia, X., Tao, M., and Zhu, L.: Modeling the feedback between aerosol and meteorological variables in the atmospheric boundary layer during a severe fog–haze event over the North China Plain, Atmos. Chem. Phys., 15, 4279–4295, https://doi.org/10.5194/acp-15-4279-2015, 2015.
Gent, P. R., Danabasoglu, G., Donner, L. J., Holland, M. M., Hunke, E. C.,
Jayne, S. R., Lawrence, D. M., Neale, R. B., Rasch, P. J., Vertenstein, M.,
Worley, P. H., Yang, Z. L., and Zhang, M. H.: The Community Climate System
Model Version 4, J. Climate, 24, 4973–4991, https://doi.org/10.1175/2011jcli4083.1,
2011.
Gettelman, A., Shindell, D., and Lamarque, J.-F.: Impact of aerosol
radiative effects on 2000–2010 surface temperatures, Clim. Dynam., 45,
2165–2179, 2015.
Gillespie, A., Rokugawa, S., Matsunaga, T., Cothern, J. S., Hook, S., and
Kahle, A. B.: A temperature and emissivity separation algorithm for Advanced
Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images, IEEE
T. Geosci. Remote Sens., 36, 1113–1126, 1998.
GLOBE Team and others (Hastings, David A., Paula K. Dunbar, Gerald M.
Elphingstone, Mark Bootz, Hiroshi Murakami, Hiroshi Maruyama, Hiroshi
Masaharu, Peter Holland, John Payne, Nevin A. Bryant, Thomas L. Logan, J.-P.
Muller, Gunter Schreier, and John S. MacDonald) (Eds.): The Global Land
One-kilometer Base Elevation (GLOBE) Digital Elevation Model, Version, 1,
80305-83328, National Oceanic and Atmospheric Administration, National Geophysical Data Center, USA, 1999.
Gordon, H. B., O'Farrell, S., Collier, M., Dix, M., Rotstayn, L., Kowalczyk,
E., Hirst, T., and Watterson, I.: The CSIRO Mk3. 5 climate model, CSIRO and
Bureau of Meteorology, Centre for Australian Weather and Climate Research, Melbourne VIC, 2010.
Guo, Y., Cheng, J., and Liang, S.: Comprehensive assessment of
parameterization methods for estimating clear-sky surface downward longwave
radiation, Theor. Appl. Climatol., 135, 1045–1058, 2019.
Hansen, J., Ruedy, R., Sato, M., and Lo, K.: Global surface temperature
change, Rev. Geophys., 48, RG4004, https://doi.org/10.1029/2010RG000345, 2010.
He, T., Liang, S., and Song, D. X.: Analysis of global land surface albedo
climatology and spatial-temporal variation during 1981–2010 from multiple
satellite products, J. Geophys. Res.-Atmos., 119,
10281–10298, 2014.
Hersbach, H. and Dee, D.: ERA5 reanalysis is in production, ECMWF
newsletter, 147, 5–6, 2016.
Hsu, N. C., Gautam, R., Sayer, A. M., Bettenhausen, C., Li, C., Jeong, M. J., Tsay, S.-C., and Holben, B. N.: Global and regional trends of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010, Atmos. Chem. Phys., 12, 8037–8053, https://doi.org/10.5194/acp-12-8037-2012, 2012.
Hsu, N. C., Herman, J., Torres, O., Holben, B., Tanre, D., Eck, T., Smirnov,
A., Chatenet, B., and Lavenu, F.: Comparisons of the TOMS aerosol index with
Sun-photometer aerosol optical thickness: Results and applications, J.
Geophys. Res.-Atmos., 104, 6269–6279, 1999.
Hulley, G. C. and Hook, S. J.: Generating consistent land surface temperature and emissivity products between ASTER and MODIS data for earth science research, IEEE T. Geosci. Remote Sens., 49, 1304–1315, 2010.
IPCC: Climate Change 2013 – The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, 2014.
Ji, Z. M., Kang, S. C., Cong, Z. Y., Zhang, Q. G., and Yao, T. D.:
Simulation of carbonaceous aerosols over the Third Pole and adjacent
regions: distribution, transportation, deposition, and climatic effects,
Clim. Dynam., 45, 2831–2846, https://doi.org/10.1007/s00382-015-2509-1, 2015.
Jia, A. and Liang, S.: Long-term surface downward surface radiation dataset over the Tibetan Plateau, PANGAEA, https://doi.org/10.1594/PANGAEA.902049, 2019.
Jia, A., Jiang, B., Liang, S., Zhang, X., and Ma, H.: Validation and
Spatiotemporal Analysis of CERES Surface Net Radiation Product, Remote
Sensing, 8, 90, https://doi.org/10.3390/rs8020090, 2016.
Jia, A., Liang, S., Jiang, B., Zhang, X., and Wang, G.: Comprehensive assessment of global surface net radiation products and uncertainty analysis, J. Geophys. Res.-Atmos., 123, 1970–1989, https://doi.org/10.1002/2017JD027903, 2018.
Jones, P., Lister, D., Osborn, T., Harpham, C., Salmon, M., and Morice, C.:
Hemispheric and large-scale land-surface air temperature variations: An
extensive revision and an update to 2010, J. Geophys. Res.-Atmos., 117, D05127, https://doi.org/10.1029/2011JD017139, 2012.
Jungclaus, J. H., Lorenz, S. J., Timmreck, C., Reick, C. H., Brovkin, V., Six, K., Segschneider, J., Giorgetta, M. A., Crowley, T. J., Pongratz, J., Krivova, N. A., Vieira, L. E., Solanki, S. K., Klocke, D., Botzet, M., Esch, M., Gayler, V., Haak, H., Raddatz, T. J., Roeckner, E., Schnur, R., Widmann, H., Claussen, M., Stevens, B., and Marotzke, J.: Climate and carbon-cycle variability over the last millennium, Clim. Past, 6, 723–737, https://doi.org/10.5194/cp-6-723-2010, 2010.
Kato, S., Rose, F. G., Rutan, D. A., Thorsen, T. J., Loeb, N. G., Doelling,
D. R., Huang, X., Smith, W. L., Su, W., and Ham, S.-H.: Surface irradiances
of edition 4.0 Clouds and the Earth's Radiant Energy System (CERES) Energy
Balanced and Filled (EBAF) data product, J. Climate, 31, 4501–4527,
2018.
Kuang, X. X. and Jiao, J. J.: Review on climate change on the Tibetan
Plateau during the last half century, J. Geophys. Res.-Atmos., 121, 3979–4007,
https://doi.org/10.1002/2015jd024728, 2016.
Lau, W. K. M., Yuan, C., and Li, Z.: Origin, Maintenance and Variability of
the Asian Tropopause Aerosol Layer (ATAL): The Roles of Monsoon Dynamics,
Sci. Rep.-UK, 8, 3960, https://doi.org/10.1038/s41598-018-22267-z, 2018.
Leese, J. A.: Coordinated Enhanced Observing Period (CEOP) Implementation
Plan, International GEWEX Project Office,
Silver Spring, MD, 2001.
Levy, R. C., Remer, L., Mattoo, S., Vermote, E., and Kaufman, Y.:
Second-generation algorithm for retrieving aerosol properties over land from
MODIS spectral reflectance, J. Geophys. Res., 112, D13211, https://doi.org/10.1029/2006JD007811, 2007.
Lewis, P., Brockmann, C., and Muller, J.: GlobAlbedo: Algorithm theoretical
basis document V4-12, in: Technical Report, Globalbedo Team, University College London, UK,
available at: http://www.globalbedo.org/ (last access: 22 January 2020), 2013.
Li, C., Zhao, T., and Ying, K.: Effects of anthropogenic aerosols on
temperature changes in China during the twentieth century based on CMIP5
models, Theor. Appl. Climatol., 125, 529–540,
https://doi.org/10.1007/s00704-015-1527-6, 2015.
Li, Z., Rosenfeld, D., and Fan, J.: Aerosols and their impact on radiation, clouds, precipitation, and severe weather events, Oxford Research Encyclopedias, https://doi.org/10.1093/acrefore/9780199389414.013.126, 2017.
Liang, S., Wang, K., Zhang, X., and Wild, M.: Review on estimation of land
surface radiation and energy budgets from ground measurement, remote sensing
and model simulations, IEEE J. Sel. Top. Appl., 3, 225–240, 2010.
Liao, H., Chang, W., and Yang, Y.: Climatic effects of air pollutants over
China: A review, Adv. Atmos. Sci., 32, 115–139, 2015.
Liu, N. F., Liu, Q., Wang, L. Z., Liang, S. L., Wen, J. G., Qu, Y., and Liu, S. H.: A statistics-based temporal filter algorithm to map spatiotemporally continuous shortwave albedo from MODIS data, Hydrol. Earth Syst. Sci., 17, 2121–2129, https://doi.org/10.5194/hess-17-2121-2013, 2013a.
Liu, Q., Wang, L., Qu, Y., Liu, N., Liu, S., Tang, H., and Liang, S.:
Preliminary evaluation of the long-term GLASS albedo product, Int.
J. Digital Earth, 6, 69–95, 2013b.
Loeb, N. G., Doelling, D. R., Wang, H. L., Su, W. Y., Nguyen, C., Corbett,
J. G., Liang, L. S., Mitrescu, C., Rose, F. G., and Kato, S.: Clouds and the
Earth's Radiant Energy System (CERES) Energy Balanced and Filled (EBAF)
Top-of-Atmosphere (TOA) Edition-4.0 Data Product, J. Climate, 31,
895–918, https://doi.org/10.1175/Jcli-D-17-0208.1, 2018.
Long, M. C., Lindsay, K., Peacock, S., Moore, J. K., and Doney, S. C.:
Twentieth-century oceanic carbon uptake and storage in CESM1 (BGC), J.
Climate, 26, 6775–6800, 2013.
Ma, Q., Wang, K., and Wild, M.: Impact of geolocations of validation data on
the evaluation of surface incident shortwave radiation from Earth System
Models, J. Geophys. Res.-Atmos., 120, 6825–6844, 2015.
Manara, V., Brunetti, M., Maugeri, M., Sanchez-Lorenzo, A., and Wild, M.:
Sunshine duration and global radiation trends in Italy (1959–2013): To what
extent do they agree?, J. Geophys. Res.-Atmos., 122,
4312–4331, 2017.
McPeters, R. D., Bhartia, P., Krueger, A. J., Herman, J. R., Wellemeyer, C.
G., Seftor, C. J., Jaross, G., Torres, O., Moy, L., and Labow, G.: Earth
probe total ozone mapping spectrometer (TOMS): data products user's guide, NASA Technical Publications, Goddard Space Flight Center, Greenbelt, MD,
available at: http://cedadocs.ceda.ac.uk/107/1/earthprobe_userguide.pdf (last access: 22 January 2020),
1998.
Meehl, G. A., Washington, W. M., Arblaster, J. M., Hu, A. X., Teng, H. Y.,
Kay, J. E., Gettelman, A., Lawrence, D. M., Sanderson, B. M., and Strand, W.
G.: Climate Change Projections in CESM1(CAM5) Compared to CCSM4, J.
Climate, 26, 6287–6308, https://doi.org/10.1175/Jcli-D-12-00572.1, 2013.
Mochizuki, T., Chikamoto, Y., Kimoto, M., Ishii, M., Tatebe, H., Komuro, Y.,
Sakamoto, T. T., Watanabe, M., and Mori, M.: Decadal Prediction Using a
Recent Series of MIROC Global Climate Models, J. Meteorol.
Soc. Jpn., 90, 373–383, https://doi.org/10.2151/jmsj.2012-A22, 2012.
Norris, J. R. and Evan, A. T.: Empirical Removal of Artifacts from the
ISCCP and PATMOS-x Satellite Cloud Records, J. Atmos.
Ocean. Tech., 32, 691–702, https://doi.org/10.1175/jtech-d-14-00058.1, 2015.
Norris, J. R., Allen, R. J., Evan, A. T., Zelinka, M. D., O'Dell, C. W., and
Klein, S. A.: Evidence for climate change in the satellite cloud record,
Nature, 536, 72–75, 2016.
Pozzer, A., de Meij, A., Yoon, J., Tost, H., Georgoulias, A. K., and Astitha, M.: AOD trends during 2001–2010 from observations and model simulations, Atmos. Chem. Phys., 15, 5521–5535, https://doi.org/10.5194/acp-15-5521-2015, 2015.
Qian, Y., Yasunari, T. J., Doherty, S. J., Flanner, M. G., Lau, W. K., Ming,
J., Wang, H., Wang, M., Warren, S. G., and Zhang, R.: Light-absorbing
particles in snow and ice: Measurement and modeling of climatic and
hydrological impact, Adv. Atmos. Sci., 32, 64–91, 2015.
Qu, Y., Liu, Q., Liang, S., Wang, L., Liu, N., and Liu, S.:
Direct-estimation algorithm for mapping daily land-surface broadband albedo
from MODIS data, IEEE T. Geosci. Remote Sens., 52,
907–919, 2014.
Ramanathan, V., Ramana, M. V., Roberts, G., Kim, D., Corrigan, C., Chung, C., and Winker, D.: Warming trends in Asia amplified by brown cloud solar absorption, Nature, 448, 575–578, 2007.
Randles, C., Da Silva, A., Buchard, V., Colarco, P., Darmenov, A.,
Govindaraju, R., Smirnov, A., Holben, B., Ferrare, R., and Hair, J.: The
MERRA-2 aerosol reanalysis, 1980 onward. Part I: System description and data
assimilation evaluation, J. Climate, 30, 6823–6850, 2017.
Rao, Y., Liang, S., and Yu, Y.: Land Surface Air Temperature Data Are Considerably Different Among BEST‐LAND, CRU‐TEM4v, NASA‐GISS, and NOAA‐NCEI, J. Geophys. Res.-Atmos., 123, 5881–5900, 2018.
Riihelä, A., Manninen, T., Laine, V., Andersson, K., and Kaspar, F.: CLARA-SAL: a global 28 yr timeseries of Earth's black-sky surface albedo, Atmos. Chem. Phys., 13, 3743–3762, https://doi.org/10.5194/acp-13-3743-2013, 2013.
Rohde, R., Muller, R., Jacobsen, R., Muller, E., Perlmutter, S., Rosenfeld,
A., Wurtele, J., Groom, D., and Wickham, C.: A new estimate of the average
Earth surface land temperature spanning 1753 to 2011, Geoinfor. Geostat.
Overview, 1, 2, https://doi.org/10.4172/2327-4581.1000101, 2013.
Rossow, W. B. and Schiffer, R. A.: Advances in understanding clouds from
ISCCP, B. Am. Meteorol. Soc., 80, 2261–2288, 1999.
Sampe, T. and Xie, S. P.: Large-Scale Dynamics of the Meiyu-Baiu Rainband:
Environmental Forcing by the Westerly Jet, J. Climate, 23, 113–134,
https://doi.org/10.1175/2009jcli3128.1, 2010.
Samset, B., Sand, M., Smith, C., Bauer, S., Forster, P., Fuglestvedt, J.,
Osprey, S., and Schleussner, C. F.: Climate impacts from a removal of
anthropogenic aerosol emissions, Geophys. Res. Lett., 45,
1020–1029, 2018.
Sayer, A. M., Hsu, N. C., Bettenhausen, C., Jeong, M.-J., Holben, B. N., and Zhang, J.: Global and regional evaluation of over-land spectral aerosol optical depth retrievals from SeaWiFS, Atmos. Meas. Tech., 5, 1761–1778, https://doi.org/10.5194/amt-5-1761-2012, 2012.
Scoccimarro, E., Gualdi, S., Bellucci, A., Sanna, A., Giuseppe Fogli, P.,
Manzini, E., Vichi, M., Oddo, P., and Navarra, A.: Effects of tropical
cyclones on ocean heat transport in a high-resolution coupled general
circulation model, J. Climate, 24, 4368–4384, 2011.
Shi, Q. and Liang, S.: Characterizing the surface radiation budget over the
Tibetan Plateau with ground-measured, reanalysis, and remote sensing data
sets: 1. Methodology, J. Geophys. Res.-Atmos., 118,
9642–9657, 2013.
Smith, D. M., Booth, B. B., Dunstone, N. J., Eade, R., Hermanson, L., Jones, G. S., Scaife, A. A., Sheen, K. L., and Thompson, V.: Role of volcanic and anthropogenic aerosols in the recent global surface warming slowdown, Nat. Clim. Change, 6, 936–940, 2016.
Smith, T. M., Reynolds, R. W., Peterson, T. C., and Lawrimore, J.:
Improvements to NOAA's historical merged land–ocean surface temperature
analysis (1880–2006), J. Climate, 21, 2283–2296, 2008.
Sogacheva, L., de Leeuw, G., Rodriguez, E., Kolmonen, P., Georgoulias, A. K., Alexandri, G., Kourtidis, K., Proestakis, E., Marinou, E., Amiridis, V., Xue, Y., and van der A, R. J.: Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 1: ATSR (1995–2011) and MODIS C6.1 (2000–2017), Atmos. Chem. Phys., 18, 11389–11407, https://doi.org/10.5194/acp-18-11389-2018, 2018.
Sun, Y., Zhang, X., Zwiers, F. W., Song, L., Wan, H., Hu, T., Yin, H., and Ren, G.: Rapid increase in the risk of extreme summer heat in Eastern China, Nat. Clim. Change, 4, 1082–1085, 2014.
Sundström, A.-M., Arola, A., Kolmonen, P., Xue, Y., de Leeuw, G., and Kulmala, M.: On the use of a satellite remote-sensing-based approach for determining aerosol direct radiative effect over land: a case study over China, Atmos. Chem. Phys., 15, 505–518, https://doi.org/10.5194/acp-15-505-2015, 2015.
Tang, W.-J., Yang, K., Qin, J., Cheng, C. C. K., and He, J.: Solar radiation trend across China in recent decades: a revisit with quality-controlled data, Atmos. Chem. Phys., 11, 393–406, https://doi.org/10.5194/acp-11-393-2011, 2011.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and the experiment design, B. Am. Meteorol. Soc., 93, 485–498, 2012.
Tjiputra, J. F., Roelandt, C., Bentsen, M., Lawrence, D. M., Lorentzen, T., Schwinger, J., Seland, Ø., and Heinze, C.: Evaluation of the carbon cycle components in the Norwegian Earth System Model (NorESM), Geosci. Model Dev., 6, 301–325, https://doi.org/10.5194/gmd-6-301-2013, 2013.
Tobo, Y., Iwasaka, Y., Shi, G.-Y., Kim, Y.-S., Ohashi, T., Tamura, K., and
Zhang, D.: Balloon-borne observations of high aerosol concentrations near
the summertime tropopause over the Tibetan Plateau, Atmos. Res.,
84, 233–241,
doi10.1016/j.atmosres.2006.08.003, 2007.
doi10.1016/j.atmosres.2006.08.003, 2007.
Van Donkelaar, A., Martin, R. V., Brauer, M., and Boys, B. L.: Global Annual
PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD),
1998–2012, Palisades, NY: NASA Socioeconomic Data and Applications Center
(SEDAC), https://doi.org/10.7927/h4028pfs, 2015.
Van Donkelaar, A., Martin, R. V., Brauer, M., Hsu, N. C., Kahn, R. A., Levy,
R. C., Lyapustin, A., Sayer, A. M., and Winker, D. M.: Global estimates of
fine particulate matter using a combined geophysical-statistical method with
information from satellites, models, and monitors, Environ. Sci. Technol., 50,
3762–3772, 2016.
Vernier, J. P., Fairlie, T. D., Natarajan, M., Wienhold, F. G., Bian, J.,
Martinsson, B. G., Crumeyrolle, S., Thomason, L. W., and Bedka, K. M.:
Increase in upper tropospheric and lower stratospheric aerosol levels and
its potential connection with Asian pollution, J. Geophys. Res.-Atmos., 120,
1608–1619, https://doi.org/10.1002/2014JD022372, 2015.
Voldoire, A., Sanchez-Gomez, E., y Mélia, D. S., Decharme, B., Cassou,
C., Sénési, S., Valcke, S., Beau, I., Alias, A., and Chevallier, M.:
The CNRM-CM5.1 global climate model: description and basic evaluation,
Clim. Dynam., 40, 2091–2121, 2013.
Volodin, E. M., Dianskii, N. A., and Gusev, A. V.: Simulating present-day
climate with the INMCM4.0 coupled model of the atmospheric and oceanic
general circulations, Izv. Atmos. Ocean. Phy+, 46, 414–431,
https://doi.org/10.1134/S000143381004002x, 2010.
Wang, K.: Measurement biases explain discrepancies between the observed and
simulated decadal variability of surface incident solar radiation, Sci.
Rep.-UK, 4, 6144, https://doi.org/10.1038/srep06144, 2014.
Wang, K. and Dickinson, R. E.: Global atmospheric downward longwave
radiation at the surface from ground-based observations, satellite
retrievals, and reanalyses, Rev. Geophys., 51, 150–185, 2013.
Wang, Y. Q., Zhang, X. Y., Sun, J. Y., Zhang, X. C., Che, H. Z., and Li, Y.: Spatial and temporal variations of the concentrations of PM10, PM2.5 and PM1 in China, Atmos. Chem. Phys., 15, 13585–13598, https://doi.org/10.5194/acp-15-13585-2015, 2015.
Wang, Z., Li, Z., Xu, M., and Yu, G.: River morphodynamics and stream
ecology of the Qinghai-Tibet Plateau, CRC Press, Balkema, St. Louis, USA, 2016.
Wild, M.: Global dimming and brightening: A review, J. Geophys.
Res.-Atmos., 114, D00D16, https://doi.org/10.1029/2008JD011470, 2009.
Wild, M., Ohmura, A., and Makowski, K.: Impact of global dimming and
brightening on global warming, Geophys. Res. Lett., 34, L04702,
https://doi.org/10.1029/2006gl028031, 2007.
Wu, G. X., Liu, Y. M., He, B., Bao, Q., Duan, A. M., and Jin, F. F.: Thermal
Controls on the Asian Summer Monsoon, Sci. Rep.-UK, 2,
404, https://doi.org/10.1038/srep00404, 2012.
Wu, G. X., Duan, A. M., Liu, Y. M., Mao, J. Y., Ren, R. C., Bao, Q., He, B.,
Liu, B. Q., and Hu, W. T.: Tibetan Plateau climate dynamics: recent research
progress and outlook, Natl. Sci. Rev., 2, 100–116, https://doi.org/10.1093/nsr/nwu045, 2015.
Wu, T., Yu, R., Zhang, F., Wang, Z., Dong, M., Wang, L., Jin, X., Chen, D.,
and Li, L.: The Beijing Climate Center atmospheric general circulation
model: description and its performance for the present-day climate, Clim.
Dynam., 34, 123–147, 2010.
Xie, H. and Zhu, X.: Reference evapotranspiration trends and their
sensitivity to climatic change on the Tibetan Plateau (1970–2009), Hydrol.
Process., 27, 3685–3693, 2013.
Xie, H., Zhu, X., and Yuan, D. Y.: Pan evaporation modelling and changing
attribution analysis on the Tibetan Plateau (1970–2012), Hydrol. Process., 29,
2164–2177, https://doi.org/10.1002/hyp.10356, 2015.
Xu, X. D., Lu, C. G., Ding, Y. H., Shi, X. H., Guo, Y. D., and Zhu, W. H.:
What is the relationship between China summer precipitation and the change
of apparent heat source over the Tibetan Plateau?, Atmos. Sci. Lett., 14,
227–234, https://doi.org/10.1002/asl2.444, 2013.
Yang, K., Koike, T., and Ye, B.: Improving estimation of hourly, daily, and
monthly solar radiation by importing global data sets, Agr.
Forest Meteorol., 137, 43–55, 2006.
Yang, K., Ding, B. H., Qin, J., Tang, W. J., Lu, N., and Lin, C. G.: Can
aerosol loading explain the solar dimming over the Tibetan Plateau?,
Geophys. Res. Lett., 39, L20710, https://doi.org/10.1029/2012gl053733, 2012.
Yang, K., Wu, H., Qin, J., Lin, C. G., Tang, W. J., and Chen, Y. Y.: Recent
climate changes over the Tibetan Plateau and their impacts on energy and
water cycle: A review, Global Planet. Change, 112, 79–91,
https://doi.org/10.1016/j.gloplacha.2013.12.001, 2014.
Yao, T., Pu, J., Lu, A., Wang, Y., and Yu, W.: Recent glacial retreat and
its impact on hydrological processes on the Tibetan Plateau, China, and
surrounding regions, Arct. Antarct. Alp. Res., 39, 642–650,
2007.
Yao, T., Xue, Y., Chen, D., Chen, F., Thompson, L., Cui, P., Koike, T., Lau, W. K.-M., Lettenmaier, D., and Mosbrugger, V.: Recent Third Pole's rapid warming accompanies cryospheric melt and water cycle intensification and interactions between monsoon and environment: Multidisciplinary approach with observations, modeling, and analysis, B. Am. Meteorol. Soc., 100, 423–444, 2019.
Yasunari, T.: GEWEX-related Asian monsoon experiment (GAME), Adv.
Space Res., 14, 161–165, 1994.
You, Q., Sanchez-Lorenzo, A., Wild, M., Folini, D., Fraedrich, K., Ren, G.,
and Kang, S.: Decadal variation of surface solar radiation in the Tibetan
Plateau from observations, reanalysis and model simulations, Clim.
Dynam., 40, 2073–2086, 2013.
You, Q. L., Kang, S. C., Pepin, N., Flugel, W. A., Sanchez-Lorenzo, A., Yan,
Y. P., and Zhang, Y. J.: Climate warming and associated changes in
atmospheric circulation in the eastern and central Tibetan Plateau from a
homogenized dataset, Global Planet. Change, 72, 11–24,
https://doi.org/10.1016/j.gloplacha.2010.04.003, 2010.
Yukimoto, S., Adachi, Y., Hosaka, M., Sakami, T., Yoshimura, H., Hirabara,
M., Tanaka, T. Y., Shindo, E., Tsujino, H., and Deushi, M.: A New Global
Climate Model of the Meteorological Research Institute: MRI-CGCM3 – Model
Description and Basic Performance, J. Meteorol. Soc.
Jpn., 90, 23–64, 2012.
Zeng, Z., Piao, S., Li, L. Z. X., Zhou, L., Ciais, P., Wang, T., Li, Y.,
Lian, X., Wood, E. F., Friedlingstein, P., Mao, J., Estes, L. D., Myneni,
Ranga B., Peng, S., Shi, X., Seneviratne, S. I., and Wang, Y.: Climate
mitigation from vegetation biophysical feedbacks during the past three
decades, Nat. Clim. Change, 7, 432–436, https://doi.org/10.1038/nclimate3299, 2017.
Zhang, X., Liang, S., Wild, M., and Jiang, B.: Analysis of surface incident
shortwave radiation from four satellite products, Remote Sens.
Environ., 165, 186–202, 2015.
Zhang, X., Liang, S., Wang, G., Yao, Y., Jiang, B., and Cheng, J.:
Evaluation of the Reanalysis Surface Incident Shortwave Radiation Products
from NCEP, ECMWF, GSFC, and JMA Using Satellite and Surface Observations,
Remote Sensing, 8, 225, https://doi.org/10.3390/rs8030225, 2016.
Zhou, C., Wang, K., and Qi, D.: Attribution of the July 2016 Extreme
Precipitation Event Over China's Wuhang, B. Am.
Meteorol. Soc., 99, S107–S112, 2018.
Short summary
The Tibetan Plateau (TP) plays a vital role in regional and global climate change due to its location and orography. After generating a long-term surface radiation (SR) dataset, we characterized the SR spatiotemporal variation along with temperature. Evidence from multiple data sources indicated that the TP dimming was primarily driven by increased aerosols from human activities, and the cooling effect of aerosol loading offsets TP surface warming, revealing the human impact on regional warming.
The Tibetan Plateau (TP) plays a vital role in regional and global climate change due to its...
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