| contributor author | Richard M. Schulte | |
| contributor author | Christian D. Kummerow | |
| contributor author | Christian Klepp | |
| contributor author | Gerald G. Mace | |
| date accessioned | 2023-04-12T18:26:10Z | |
| date available | 2023-04-12T18:26:10Z | |
| date copyright | 2022/09/01 | |
| date issued | 2022 | |
| identifier other | JAMC-D-21-0158.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4289661 | |
| description abstract | A significant part of the uncertainty in satellite-based precipitation products stems from differing assumptions about drop size distributions (DSDs). Satellite radar-based retrieval algorithms rely on DSD assumptions that may be overly simplistic, whereas radiometers further struggle to distinguish cloud water from rain. We utilize the Ocean Rainfall and Ice-phase Precipitation Measurement Network (OceanRAIN), version 1.0, dataset to examine the impact of DSD variability on the ability of satellite measurements to accurately estimate rates of warm rainfall. We use the binned disdrometer counts and a simple model of the atmosphere to simulate observations for three satellite architectures. Two are similar to existing instrument combinations on the GPM | |
| publisher | American Meteorological Society | |
| title | How Accurately Can Warm Rain Realistically Be Retrieved with Satellite Sensors? Part I: DSD Uncertainties | |
| type | Journal Paper | |
| journal volume | 61 | |
| journal issue | 9 | |
| journal title | Journal of Applied Meteorology and Climatology | |
| identifier doi | 10.1175/JAMC-D-21-0158.1 | |
| journal fristpage | 1087 | |
| journal lastpage | 1105 | |
| page | 1087–1105 | |
| tree | Journal of Applied Meteorology and Climatology:;2022:;volume( 061 ):;issue: 009 | |
| contenttype | Fulltext | |
