Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386819914> ?p ?o ?g. }
- W4386819914 endingPage "3752" @default.
- W4386819914 startingPage "3725" @default.
- W4386819914 abstract "Land surface all-wave net radiation (Rn) is crucial in determining Earth's climate by contributing to the surface radiation budget. This study evaluated seven satellite and three reanalysis long-term land surface Rn products under different spatial scales, spatial and temporal variations, and different conditions. The results showed that during 2000-2018, Global Land Surface Satellite Product (GLASS)-Moderate Resolution Imaging Spectroradiometer (MODIS) performed the best (RMSE=25.54 Wm-2, bias=−1.26 Wm-2), followed by ERA5 (the fifth-generation of European Centre for Medium-Range Weather Forecast Reanalysis) (RMSE=32.17 Wm-2, bias=−4.88 Wm-2) and GLASS-AVHRR (Advanced Very-High-Resolution Radiometer) (RMSE=33.10 Wm-2, bias=4.03 Wm-2). During 1983-2018, GLASS-AVHRR and ERA5 ranked top and performed similarly, with RMSE values of 31.70 and 33.08 Wm-2 and biases of −4.56 and 3.48 Wm-2, respectively. The averaged multi-annual mean Rn over the global land surface of satellite products was higher than that of reanalysis products by about 10∼30 Wm-2. These products differed remarkably in long-term trends variations, particularly pre-2000, but no significant trends were observed. Discrepancies were more frequent in satellite data, while reanalysis products showed smoother variations. Large discrepancies were found in regions with high latitudes, reflectance, and elevation which could be attributed to input radiative components, meteorological variables (e.g., cloud properties, aerosol optical thickness), and applicability of the algorithms used. While further research is needed for detailed insights." @default.
- W4386819914 created "2023-09-19" @default.
- W4386819914 creator A5001940923 @default.
- W4386819914 creator A5006187206 @default.
- W4386819914 creator A5011417699 @default.
- W4386819914 creator A5014863773 @default.
- W4386819914 creator A5016099680 @default.
- W4386819914 creator A5020032935 @default.
- W4386819914 creator A5034133888 @default.
- W4386819914 creator A5053533157 @default.
- W4386819914 creator A5054276054 @default.
- W4386819914 creator A5054598838 @default.
- W4386819914 creator A5063493372 @default.
- W4386819914 creator A5064163486 @default.
- W4386819914 creator A5067741005 @default.
- W4386819914 creator A5068671224 @default.
- W4386819914 date "2023-09-18" @default.
- W4386819914 modified "2023-10-02" @default.
- W4386819914 title "Significant discrepancies of land surface daily net radiation among ten remotely sensed and reanalysis products" @default.
- W4386819914 cites W1863171981 @default.
- W4386819914 cites W1963610170 @default.
- W4386819914 cites W1967829021 @default.
- W4386819914 cites W1976874031 @default.
- W4386819914 cites W1982109619 @default.
- W4386819914 cites W1989120577 @default.
- W4386819914 cites W1989668498 @default.
- W4386819914 cites W1992652001 @default.
- W4386819914 cites W2003326025 @default.
- W4386819914 cites W2016241302 @default.
- W4386819914 cites W2019066705 @default.
- W4386819914 cites W2019279481 @default.
- W4386819914 cites W2019812041 @default.
- W4386819914 cites W2020954320 @default.
- W4386819914 cites W2024759588 @default.
- W4386819914 cites W2030216404 @default.
- W4386819914 cites W2038498836 @default.
- W4386819914 cites W2040085996 @default.
- W4386819914 cites W2044562303 @default.
- W4386819914 cites W2046278200 @default.
- W4386819914 cites W2051679090 @default.
- W4386819914 cites W2060830144 @default.
- W4386819914 cites W2064446578 @default.
- W4386819914 cites W2067154204 @default.
- W4386819914 cites W2073773661 @default.
- W4386819914 cites W2089838744 @default.
- W4386819914 cites W2090249381 @default.
- W4386819914 cites W2096109522 @default.
- W4386819914 cites W2113723234 @default.
- W4386819914 cites W2120255207 @default.
- W4386819914 cites W2122780342 @default.
- W4386819914 cites W2125030301 @default.
- W4386819914 cites W2126559941 @default.
- W4386819914 cites W2138778377 @default.
- W4386819914 cites W2141012466 @default.
- W4386819914 cites W2144630956 @default.
- W4386819914 cites W2151249467 @default.
- W4386819914 cites W2151499794 @default.
- W4386819914 cites W2159143072 @default.
- W4386819914 cites W2172080905 @default.
- W4386819914 cites W2239653821 @default.
- W4386819914 cites W2246292926 @default.
- W4386819914 cites W2292155819 @default.
- W4386819914 cites W2293055932 @default.
- W4386819914 cites W2296185332 @default.
- W4386819914 cites W2333012388 @default.
- W4386819914 cites W2513196216 @default.
- W4386819914 cites W2556661975 @default.
- W4386819914 cites W2594005269 @default.
- W4386819914 cites W2611772571 @default.
- W4386819914 cites W2743131688 @default.
- W4386819914 cites W2760214847 @default.
- W4386819914 cites W2761195376 @default.
- W4386819914 cites W2788336062 @default.
- W4386819914 cites W2793345439 @default.
- W4386819914 cites W2799810899 @default.
- W4386819914 cites W2883187543 @default.
- W4386819914 cites W2900898478 @default.
- W4386819914 cites W2904321320 @default.
- W4386819914 cites W2914939383 @default.
- W4386819914 cites W2951318688 @default.
- W4386819914 cites W2978935251 @default.
- W4386819914 cites W3008277112 @default.
- W4386819914 cites W3015714483 @default.
- W4386819914 cites W3021742246 @default.
- W4386819914 cites W3022011114 @default.
- W4386819914 cites W3022334026 @default.
- W4386819914 cites W3025949386 @default.
- W4386819914 cites W3033658561 @default.
- W4386819914 cites W3081460520 @default.
- W4386819914 cites W3086625682 @default.
- W4386819914 cites W3087236191 @default.
- W4386819914 cites W3118569366 @default.
- W4386819914 cites W3173364359 @default.
- W4386819914 cites W3201217698 @default.
- W4386819914 cites W3204829776 @default.
- W4386819914 cites W4200571753 @default.
- W4386819914 cites W4211050248 @default.
- W4386819914 cites W4252321583 @default.