| contributor author | Kevin Gallo | |
| contributor author | Praveena Krishnan | |
| date accessioned | 2023-04-12T18:24:42Z | |
| date available | 2023-04-12T18:24:42Z | |
| date copyright | 2022/10/04 | |
| date issued | 2022 | |
| identifier other | JAMC-D-21-0240.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4289616 | |
| description abstract | Satellite-derived observations of land surface temperature (LST) are being utilized in a growing number of land surface studies; however, these observations are generally obtained from optical sensors that exclude cloudy observations of the land surface. The impact of using only clear-sky observations of land surfaces on monthly and annual estimates of daytime LST over two U.S. Climate Reference Network (USCRN) sites was evaluated over five years with daily in situ LST observations available for all-sky (clear and cloudy) conditions. The in situ LST observations were obtained for the nominal daytime observations associated with the MODIS sensors on board the | |
| publisher | American Meteorological Society | |
| title | Evaluation of the Bias in the Use of Clear-Sky Compared with All-Sky Observations of Monthly and Annual Daytime Land Surface Temperature | |
| type | Journal Paper | |
| journal volume | 61 | |
| journal issue | 10 | |
| journal title | Journal of Applied Meteorology and Climatology | |
| identifier doi | 10.1175/JAMC-D-21-0240.1 | |
| journal fristpage | 1485 | |
| journal lastpage | 1495 | |
| page | 1485–1495 | |
| tree | Journal of Applied Meteorology and Climatology:;2022:;volume( 061 ):;issue: 010 | |
| contenttype | Fulltext | |