Comprehensive assessment of five global daily downward shortwave radiation satellite products

Downward shortwave radiation (RS) drives many processes related to atmosphere–surface interactions and has great influence on the earth’s climate system. However, ground-measured RS is still insufficient to represent the land surface, so it is still critical to generate high accuracy and spatially continuous RS data. This study tries to apply the random forest (RF) method to estimate the RS from the Himawari-8 Advanced Himawari Imager (AHI) data from February to May 2016 with a two-km spatial resolution and a one-day temporal resolution. The ground-measured RS at 86 stations of the Climate Data Center of the Chinese Meteorological Administration (CDC/CMA) are collected to evaluate the estimated RS data from the RF method. The evaluation results indicate that the RF method is capable of estimating the RS well at both the daily and monthly time scales. For the daily time scale, the evaluation results based on validation data show an overall R value of 0.92, a root mean square error (RMSE) value of 35.38 (18.40%) Wm−2, and a mean bias error (MBE) value of 0.01 (0.01%) Wm−2. For the estimated monthly RS, the overall R was 0.99, the RMSE was 7.74 (4.09%) Wm−2, and the MBE was 0.03 (0.02%) Wm−2 at the selected stations. The comparison between the estimated RS data over China and the Clouds and Earth’s Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) RS dataset was also conducted in this study. The comparison results indicate that the RS estimates from the RF method have comparable accuracy with the CERES-EBAF RS data over China but provide higher spatial and temporal resolution.

Download Full-text

An Operational Method for Validating the Downward Shortwave Radiation Over Rugged Terrains

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.2994384 ◽

2020 ◽

pp. 1-18

Author(s):

Guangjian Yan ◽

Qing Chu ◽

Yiyi Tong ◽

Xihan Mu ◽

Jianbo Qi ◽

...

Keyword(s):

Shortwave Radiation ◽

Operational Method ◽

Downward Shortwave Radiation

Download Full-text

A New Set of MODIS Land Products (MCD18): Downward Shortwave Radiation and Photosynthetically Active Radiation

Remote Sensing ◽

10.3390/rs12010168 ◽

2020 ◽

Vol 12 (1) ◽

pp. 168 ◽

Cited By ~ 3

Author(s):

Dongdong Wang ◽

Shunlin Liang ◽

Yi Zhang ◽

Xueyuan Gao ◽

Meredith G. L. Brown ◽

...

Keyword(s):

Spatial Resolution ◽

Photosynthetically Active Radiation ◽

Process Models ◽

Surface Radiation ◽

Shortwave Radiation ◽

Glass Product ◽

Ancillary Data ◽

Diurnal Variability ◽

Active Radiation ◽

Downward Shortwave Radiation

Surface downward shortwave radiation (DSR) and photosynthetically active radiation (PAR), its visible component, are key parameters needed for many land process models and terrestrial applications. Most existing DSR and PAR products were developed for climate studies and therefore have coarse spatial resolutions, which cannot satisfy the requirements of many applications. This paper introduces a new global high-resolution product of DSR (MCD18A1) and PAR (MCD18A2) over land surfaces using the MODIS data. The current version is Collection 6.0 at the spatial resolution of 5 km and two temporal resolutions (instantaneous and three-hour). A look-up table (LUT) based retrieval approach was chosen as the main operational algorithm so as to generate the products from the MODIS top-of-atmosphere (TOA) reflectance and other ancillary data sets. The new MCD18 products are archived and distributed via NASA’s Land Processes Distributed Active Archive Center (LP DAAC). The products have been validated based on one year of ground radiation measurements at 33 Baseline Surface Radiation Network (BSRN) and 25 AmeriFlux stations. The instantaneous DSR has a bias of −15.4 W/m2 and root mean square error (RMSE) of 101.0 W/m2, while the instantaneous PAR has a bias of −0.6 W/m2 and RMSE of 45.7 W/m2. RMSE of daily DSR is 32.3 W/m2, and that of the daily PAR is 13.1 W/m2. The accuracy of the new MODIS daily DSR data is higher than the GLASS product and lower than the CERES product, while the latter incorporates additional geostationary data with better capturing DSR diurnal variability. MCD18 products are currently under reprocessing and the new version (Collection 6.1) will provide improved spatial resolution (1 km) and accuracy.

Download Full-text

A 5 km/daily Downward Shortwave Radiation Data Product over China-ASEAN (2013)

Journal of Global Change Data & Discovery ◽

10.3974/geodp.2017.03.07 ◽

2017 ◽

Vol 1 (3) ◽

pp. 299-302

Author(s):

Zhang H L ◽

Xin X Z ◽

Yu S S

Keyword(s):

Shortwave Radiation ◽

Radiation Data ◽

Data Product ◽

Downward Shortwave Radiation

Download Full-text

Estimating Surface Downward Shortwave Radiation over China Based on the Gradient Boosting Decision Tree Method

Remote Sensing ◽

10.3390/rs10020185 ◽

2018 ◽

Vol 10 (2) ◽

pp. 185 ◽

Cited By ~ 18

Author(s):

Lu Yang ◽

Xiaotong Zhang ◽

Shunlin Liang ◽

Yunjun Yao ◽

Kun Jia ◽

...

Keyword(s):

Decision Tree ◽

Shortwave Radiation ◽

Gradient Boosting ◽

Downward Shortwave Radiation ◽

Decision Tree Method ◽

Tree Method

Download Full-text

Influence of Land Cover Change on Regional Water Cycles in Eastern Siberia

Journal of Applied Meteorology and Climatology ◽

10.1175/jamc-d-12-043.1 ◽

2013 ◽

Vol 52 (2) ◽

pp. 484-497 ◽

Cited By ~ 3

Author(s):

Ryuhei Yoshida ◽

Masahiro Sawada ◽

Takeshi Yamazaki ◽

Takeshi Ohta ◽

Tetsuya Hiyama

Keyword(s):

Energy Flux ◽

Land Surface ◽

Water Surface ◽

Water Cycle ◽

Parameter Sensitivity ◽

Shortwave Radiation ◽

Downward Shortwave Radiation ◽

Precipitation Response ◽

Surface Expansion ◽

Sensitivity Method

AbstractThis study evaluated the effect of recent eastern Siberian land surface changes, such as water surface expansion, on water-energy fluxes and precipitation and focused on land surface parameters using a three-dimensional atmospheric model [the Japan Meteorological Agency Nonhydrostatic model (JMA-NHM)]. Five parameters were set (viz., surface albedo, evaporative efficiency, roughness length, heat capacity, and thermal conductivity), and a response of evaporation and precipitation was evaluated. Increased precipitation corresponded to 75% of the increased evaporation on interparameter average, indicating strong land–atmosphere coupling. Water-energy flux and precipitation responses to water surface expansion were evaluated by two methods: JMA-NHM and the parameter sensitivity method. The latter method used a linear combination of parameter sensitivity on the fluxes and precipitation and parameter changes with land surface change. JMA-NHM demonstrated an increase in evaporation and precipitation and a decrease in downward shortwave radiation with low-level cloud increases. The parameter sensitivity method gave the same order as JMA-NHM in the estimation. This method has minimal calculation cost; thus, water-energy flux and precipitation response with further water surface expansion and decreases in forest area were simulated, producing various land surface data. The enhancement of the precipitation response to evaporation was weak for further water surface expansion in the largely expanded water surface area; however, the ratio increased dramatically for the small water surface expanding area, indicating intense water cycle enhancement at the beginning of water surface expansion. Although grassland formation from forest has minimal impact, if incoming downward shortwave radiation were to increase because of the disappearance of the forest shading effect and the water surface formed by permafrost melting, the water cycle would be enhanced intensely.

Download Full-text