Estimation of Downwelling Shortwave and Longwave Radiation in the Tibetan Plateau Under All‐Sky Conditions

Zhong, Lei; Zou, Minmin; Ma, Yaoming; Huang, Zhengyi; Xu, Kepiao; Xian, Wang; Gao, Nan; Cheng, Mingming

doi:10.1029/2019jd030763

Cited by 17 publications

(15 citation statements)

References 75 publications

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“…Qomolangma (Everest). The surrounding surface is flat and mainly covered by sand and gravel, as well as sparse and short vegetation [ 11 , 39 ]. Solar radiation and meteorological parameters [ 11 ] were measured routinely at QOMS Station.…”

Section: Methodsmentioning

confidence: 99%

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Long-Term Variations in Global Solar Radiation and Its Interaction with Atmospheric Substances at Qomolangma

Bai

Zong

et al. 2022

IJERPH

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An empirical model to estimate global solar radiation was developed at Qomolangma Station using observed solar radiation and meteorological parameters. The predicted hourly global solar radiation agrees well with observations at the ground in 2008–2011. This model was used to calculate global solar radiation at the ground and its loss in the atmosphere due to absorbing and scattering substances in 2007–2020. A sensitivity analysis shows that the responses of global solar radiation to changes in water vapor and scattering factors (expressed as water-vapor pressure and the attenuation factor, AF, respectively) are nonlinear, and global solar radiation is more sensitive to changes in scattering than to changes in absorption. Further applying this empirical model, the albedos at the top of the atmosphere (TOA) and the surface in 2007–2020 were computed and are in line with satellite-based retrievals. During 2007–2020, the mean estimated annual global solar radiation increased by 0.22% per year, which was associated with a decrease in AF of 1.46% and an increase in water-vapor pressure of 0.37% per year. The annual mean air temperature increased by about 0.16 °C over the 14 years. Annual mean losses of solar radiation caused by absorbing and scattering substances and total loss were 2.55, 0.64, and 3.19 MJ m−2, respectively. The annual average absorbing loss was much larger than the scattering loss; their contributions to the total loss were 77.23% and 22.77%, indicating that absorbing substances play significant roles. The annual absorbing loss increased by 0.42% per year, and scattering and total losses decreased by 2.00% and 0.14% per year, respectively. The estimated and satellite-derived annual albedos increased at the TOA and decreased at the surface. This study shows that solar radiation and its interactions with atmospheric absorbing and scattering substances have played key but different roles in regional climate and climate change at the three poles.

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Section: Methodsmentioning

confidence: 99%

“…An hourly dataset from January 2007 to December 2020 was used in this study. More detailed information about the instruments and station is reported in [ 11 , 39 ].…”

Section: Methodsmentioning

confidence: 99%

Long-Term Variations in Global Solar Radiation and Its Interaction with Atmospheric Substances at Qomolangma

Bai

Zong

et al. 2022

IJERPH

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“…For aerosols, the invalid retrievals would be substituted using the Level-3 MODIS global daily and monthly climatological products (Qin et al, 2015;Huang et al, 2016a;Li et al, 2022). For the ozone column amount and surface albedo, the unavailable retrievals were 170 substituted using the nearest valid retrievals (Huang et al, 2018;Tang et al, 2019;Zhong et al, 2019b).…”

Section: Input Data 145mentioning

confidence: 99%

Estimation of 1 km downwelling shortwave radiation over the Tibetan Plateau under all-sky conditions

Zhong

et al. 2023

Preprint

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Abstract. Downwelling shortwave radiation (DSR) is the basic driving force for the energy and water cycles of the Earth’s climate system. As called the Third Pole of the Earth, the Tibetan Plateau (TP) absorbs a large amount of shortwave radiation and exert important impacts on global weather and climate change. However, due to coarse spatial resolution and insufficient consideration of factors influencing radiative transfer processes, DSR parameterization schemes are still need to be improved when applied to the TP. Based on satellite datasets and meteorological forcing data, all-sky DSR over the TP at a spatial resolution of 1 km was derived using an improved parameterization scheme. The influence of topography and different radiative attenuations were comprehensively taken into account. Specifically, the introduction of cloud multiscattering and topography factors further improves the DSR estimation accuracy. The validation results indicated that the developed parameterization scheme showed reasonable accuracy. By comparing with current widely used DSR products based on the same in situ observations, the derived DSR performed much better on different spatial and temporal scales. On instantaneous, ten-day, and monthly timescales, the root-mean-square errors (RMSEs) of the derived DSR are 132.8–158.2 W m−2, 70.8–76.5 W m−2, and 61.3–67.5 W m−2, respectively, which are much smaller than those of current DSR products. The derived DSR not only captured the temporal variation characteristics that are more consistent with the in situ measurements, but also provided reasonable spatial patterns. Meanwhile, the proposed parameterization scheme demonstrated its superiority in characterizing more details and high dynamics of the spatial pattern of DSR due to its terrain correction and high resolution. Moreover, this parameterization scheme does not need any local correction in advance and it has the potential to be extended to other regions in the world.

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“…Moreover, the TP has the most extensive high-elevation distribution of cryosphere outside the polar regions. There are vast areas of mountain glaciers, snow, permafrost and seasonally frozen earth across the TP (Zhou and Guo, 1982;Kang et al, 2010;Cheng and Jin, 2013). Therefore, it also acts as the "Water Tower of Asia" (Immerzeel et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

A long-term (2005–2016) dataset of hourly integrated land–atmosphere interaction observations on the Tibetan Plateau

Xie

et al. 2020

Earth Syst. Sci. Data

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139

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Abstract. The Tibetan Plateau (TP) plays a critical role in influencing regional and global climate, via both thermal and dynamical mechanisms. Meanwhile, as the largest high-elevation part of the cryosphere outside the polar regions, with vast areas of mountain glaciers, permafrost and seasonally frozen ground, the TP is characterized as an area sensitive to global climate change. However, meteorological stations are biased and sparsely distributed over the TP, owing to the harsh environmental conditions, high elevations, complex topography and heterogeneous surfaces. Moreover, due to the weak representation of the stations, atmospheric conditions and the local land–atmosphere coupled system over the TP as well as its effects on surrounding regions are poorly quantified. This paper presents a long-term (2005–2016) in situ observational dataset of hourly land–atmosphere interaction observations from an integrated high-elevation and cold-region observation network, composed of six field stations on the TP. These in situ observations contain both meteorological and micrometeorological measurements including gradient meteorology, surface radiation, eddy covariance (EC), soil temperature and soil water content profiles. Meteorological data were monitored by automatic weather stations (AWSs) or planetary boundary layer (PBL) observation systems. Multilayer soil temperature and moisture were recorded to capture vertical hydrothermal variations and the soil freeze–thaw process. In addition, an EC system consisting of an ultrasonic anemometer and an infrared gas analyzer was installed at each station to capture the high-frequency vertical exchanges of energy, momentum, water vapor and carbon dioxide within the atmospheric boundary layer. The release of these continuous and long-term datasets with hourly resolution represents a leap forward in scientific data sharing across the TP, and it has been partially used in the past to assist in understanding key land surface processes. This dataset is described here comprehensively for facilitating a broader multidisciplinary community by enabling the evaluation and development of existing or new remote sensing algorithms as well as geophysical models for climate research and forecasting. The whole datasets are freely available at the Science Data Bank (https://doi.org/10.11922/sciencedb.00103; Ma et al., 2020) and additionally at the National Tibetan Plateau Data Center (https://doi.org/10.11888/Meteoro.tpdc.270910, Ma 2020).

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Estimation of Downwelling Shortwave and Longwave Radiation in the Tibetan Plateau Under All‐Sky Conditions

Cited by 17 publications

References 75 publications

Long-Term Variations in Global Solar Radiation and Its Interaction with Atmospheric Substances at Qomolangma

Long-Term Variations in Global Solar Radiation and Its Interaction with Atmospheric Substances at Qomolangma

Estimation of 1 km downwelling shortwave radiation over the Tibetan Plateau under all-sky conditions

A long-term (2005–2016) dataset of hourly integrated land–atmosphere interaction observations on the Tibetan Plateau

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