L-Band Soil Moisture Retrievals Using Microwave Based Temperature and Filtering. Towards Model-Independent Climate Data Records
نویسندگان
چکیده
The CCI Soil Moisture dataset (CCI SM) is the most extensive climate data record of satellite soil moisture to date. To maximize its function as a benchmark, both long-term consistency and (model-) independence are high priorities. Two unique L-band missions integrated into SM SMOS SMAP. However, they lack high-frequency microwave sensors needed determine effective temperature snow/frozen flagging, therefore use input from (varying) land surface models. In this study, impact replacing model by filtering based on passive observations evaluated. This derived an inter-calibrated (ICTB) six sensors. Generally, leads expected increase in revisit time, which goes up about 0.5 days (~15% loss). Only boreal regions have increased coverage due more accurate freeze/thaw detection. become wetter with dynamic range, while tropics dryer decreased dynamics. Other show only small differences. skill was evaluated against ERA5-Land situ observations. average correlation 0.05 for SMAP ascending/descending ascending, whereas descending 0.01. For sensors, difference less pronounced, significant change 0.04 ascending. results indicate that microwave-based viable preferred alternative models records
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2021
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs13132480