Estimation of net radiation flux distribution on the southern slopes of the central Himalayas using MODIS data

Amatya, Pukar; Ma, Yaoming; Han, Cunbo; Wang, Binbin; Devkota, Laxmi Prasad

doi:10.1016/j.atmosres.2014.11.015

Cited by 24 publications

(5 citation statements)

References 58 publications

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“…Moreover, they are often not suitable to characterize rugged areas such as the Tibetan Plateau [21], even if some of those algorithms have been adapted to tilted surfaces [22][23][24][25]. The challenge is then to model the solar radiation budget at a higher spatial resolution and to account for the variations in topography.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Daily Solar Radiation Budget at Kilometer Resolution over the Tibetan Plateau by Integrating MODIS Data Products and a DEM

Roupioz

Nerry

et al. 2016

Remote Sensing

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Considering large and complex areas like the Tibetan Plateau, an analysis of the spatial distribution of the solar radiative budget over time not only requires the use of satellite remote sensing data, but also of an algorithm that accounts for strong variations of topography. Therefore, this research aims at developing a method to produce time series of solar radiative fluxes at high temporal and spatial resolution based on observed surface and atmosphere properties and topography. The objective is to account for the heterogeneity of the land surface using multiple land surface and atmospheric MODIS data products combined with a digital elevation model to produce estimations daily at the kilometric level. The developed approach led to the production of a three-year time series (2008)(2009)(2010) of daily solar radiation budget at one kilometer spatial resolution across the Tibetan Plateau. The validation showed that the main improvement from the proposed method is a higher spatial and temporal resolution as compared to existing products. However, even if the solar radiation estimates are satisfying on clear sky conditions, the algorithm is less reliable under cloudy sky condition and the albedo product used here has a too coarse temporal resolution and is not accurate enough over rugged terrain.

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Section: Introductionmentioning

confidence: 99%

Estimation of Daily Solar Radiation Budget at Kilometer Resolution over the Tibetan Plateau by Integrating MODIS Data Products and a DEM

Roupioz

Nerry

et al. 2016

Remote Sensing

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“…Any errors in these variables can cause bias in net radiation. Amatya et al [] obtained net radiation flux distribution in this region and showed that it is imperative to consider the effect of topography and extinction of SWD as it passes through the atmosphere. However, in GLDAS these factors are not considered.…”

Section: Resultsmentioning

confidence: 99%

“…On the context of the southern side of the central Himalayas, Amatya et al [] obtained the regional distribution of net radiation flux using Moderate Resolution Imaging Spectroradiometer (MODIS) and digital elevation model. Amatya et al [] have successfully demonstrated that an enhanced version of SEBS known as Topographically Enhanced Surface Energy Balance System [ Chen et al , ] is able to obtain regional distribution of land surface heat fluxes in this region.…”

Section: Introductionmentioning

confidence: 99%

Recent trends (2003–2013) of land surface heat fluxes on the southern side of the central Himalayas, Nepal

Amatya

Han

et al. 2015

JGR Atmospheres

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Novice efforts have been made in order to study the regional distribution of land surface heat fluxes on the southern side of the central Himalayas utilizing high‐resolution remotely sensed products, but these have been on instantaneous scale. In this study the Surface Energy Balance System model is used to obtain annual averaged maps of the land surface heat fluxes for 11 years (2003–2013) and study their annual trends on the central Himalayan region. The maps were derived at 5 km resolution using monthly input products ranging from satellite derived to Global Land Data Assimilation System meteorological data. It was found that the net radiation flux is increasing as a result of decreasing precipitation (drier environment). The sensible heat flux did not change much except for the northwestern High Himalaya and High Mountains. In northwestern High Himalaya sensible heat flux is decreasing because of decrease in wind speed, ground‐air temperature difference, and increase in winter precipitation, whereas in High Mountains it is increasing due to increase in ground‐air temperature difference and high rate of deforestation. The latent heat flux has an overall increasing trend with increase more pronounced in the lower regions compared to high elevated regions. It has been reported that precipitation is decreasing with altitude in this region. Therefore, the increasing trend in latent heat flux can be attributed to increase in net radiation flux under persistent forest cover and irrigation land used for agriculture.

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“…LER also acts as an important component of surface net radiation, which may affect evaporation, heating of soil and air, and development of the planetary boundary layer [16]. And most of the models [17,18] need input exact assessment of radiation flux.…”

Section: Introductionmentioning

confidence: 99%

Seasonal and Regional Variability of Long-Wave Effective Radiation in China and Associated Modulating Factors

Zhang

et al. 2020

Advances in Meteorology

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Variations in all-sky and clear-sky long-wave effective radiation (LER) in China during the period 2001–2016 were determined using monthly radiative datasets from the Clouds and the Earth’s Radiant Energy System (CERES). Annual and seasonal spatial distributions are found to be quite similar and show a decreasing trend from northwest to southeast, although highest values are found in spring. Mean LER under clear-sky conditions is approximately 20–30 Wm−2 higher than that under all-sky conditions. There is a consistent downward trend in annual and seasonal variations of LER under different weather conditions in China especially after 2007. In northwest China, the eastern Tibetan Plateau, and southeast and northeast China, LER is significantly reduced in two weather conditions and this is more pronounced in spring. However, decreases in clear-sky LER are more obvious. Empirical orthogonal function (EOF) results for LER differences between all-sky conditions and clear-sky conditions were used to analyze regional characteristics and modulating factors. The first mode shows that the LER differences of two weather conditions over China become larger and significant after 2007. The second mode reflects the spatial characteristics, and four climate regions are divided according to the second pattern. According to the definition of LER, regression analysis shows that downward long-wave radiation has a greater influence on LER. When considering cloud effects and other modulating factors, LER has higher correlation with relative humidity in climate regions 3 and 4. However, there are higher negative correlations with middle and high clouds in regions 1 and 2, which are modulated by cloud characteristics. When these factors influence LER together, their correlation is significant in all regions (correlation coefficients are on average higher than 0.7). In summary, changes of LER can well reflect the change of climate system.

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Estimation of net radiation flux distribution on the southern slopes of the central Himalayas using MODIS data

Cited by 24 publications

References 58 publications

Estimation of Daily Solar Radiation Budget at Kilometer Resolution over the Tibetan Plateau by Integrating MODIS Data Products and a DEM

Estimation of Daily Solar Radiation Budget at Kilometer Resolution over the Tibetan Plateau by Integrating MODIS Data Products and a DEM

Recent trends (2003–2013) of land surface heat fluxes on the southern side of the central Himalayas, Nepal

Seasonal and Regional Variability of Long-Wave Effective Radiation in China and Associated Modulating Factors

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