GRRIEn Analysis: A Data Science Cheat Sheet for Earth Scientists Learning from Global Earth ObservationsSource: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 002DOI: 10.1175/AIES-D-22-0065.1Publisher: American Meteorological Society
|
Collections
Show full item record
| contributor author | Carter, Elizabeth | |
| contributor author | Hultquist, Carolynne | |
| contributor author | Wen, Tao | |
| date accessioned | 2024-12-24T14:59:29Z | |
| date available | 2024-12-24T14:59:29Z | |
| date copyright | 01 Apr. 2023 | |
| date issued | 2023 | |
| identifier other | aies-AIES-D-22-0065.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301649 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | GRRIEn Analysis: A Data Science Cheat Sheet for Earth Scientists Learning from Global Earth Observations | |
| type | Journal Paper | |
| journal volume | 2 | |
| journal issue | 2 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-22-0065.1 | |
| journal lastpage | 220065 | |
| tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 002 | |
| contenttype | Fulltext |