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The International Soil Moisture Network: serving Earth system science for over a decade
W Dorigo, I Himmelbauer, D Aberer… - Hydrology and Earth …, 2021 - hess.copernicus.org
In 2009, the International Soil Moisture Network (ISMN) was initiated as a community effort,
funded by the European Space Agency, to serve as a centralised data hosting facility for …
funded by the European Space Agency, to serve as a centralised data hosting facility for …
A review of recent developments on drought characterization, propagation, and influential factors
Droughts have impacted human society throughout its history. However, the occurrence of
severe drought events in the last century and the concerns on the potential effects of climate …
severe drought events in the last century and the concerns on the potential effects of climate …
[HTML][HTML] ERA5-Land: A state-of-the-art global reanalysis dataset for land applications
Abstract Framed within the Copernicus Climate Change Service (C3S) of the European
Commission, the European Centre for Medium-Range Weather Forecasts (ECMWF) is …
Commission, the European Centre for Medium-Range Weather Forecasts (ECMWF) is …
A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution
Global soil moisture estimates from current satellite missions are suffering from inherent
discontinuous observations and coarse spatial resolution, which limit applications especially …
discontinuous observations and coarse spatial resolution, which limit applications especially …
Global long term daily 1 km surface soil moisture dataset with physics informed machine learning
Although soil moisture is a key factor of hydrologic and climate applications, global
continuous high resolution soil moisture datasets are still limited. Here we use physics …
continuous high resolution soil moisture datasets are still limited. Here we use physics …
Surface soil moisture from combined active and passive microwave observations: Integrating ASCAT and SMAP observations based on machine learning approaches
The fusion of active and passive microwave measurements is expected to provide more
robust surface soil moisture (SSM) map** across various environmental conditions …
robust surface soil moisture (SSM) map** across various environmental conditions …
[HTML][HTML] Improved daily SMAP satellite soil moisture prediction over China using deep learning model with transfer learning
The skillful soil moisture (SM) for the Soil Moisture Active Passive (SMAP) L4 product can
provide substantial value for many practical applications including ecosystem management …
provide substantial value for many practical applications including ecosystem management …
Global high-resolution drought indices for 1981–2022
Droughts are among the most complex and devastating natural hazards globally. High-
resolution datasets of drought metrics are essential for monitoring and quantifying the …
resolution datasets of drought metrics are essential for monitoring and quantifying the …
Soil moisture-evaporation coupling shifts into new gears under increasing CO2
When soil moisture (SM) content falls within a transitional regime between dry and wet
conditions, it controls evaporation, affecting atmospheric heat and humidity. Accordingly …
conditions, it controls evaporation, affecting atmospheric heat and humidity. Accordingly …
Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China
A new soil moisture and soil temperature wireless sensor network (the SMN-SDR)
consisting of 34 sites was established within the Shandian River Basin in 2018, located in a …
consisting of 34 sites was established within the Shandian River Basin in 2018, located in a …