Forecasts of Opportunity for Northern California Soil Moisture
Soil moisture anomalies underpin a number of critical hydrological phenomena with socioeconomic consequences, yet systematic studies of soil moisture predictability are limited. Here, we use a data-adaptive technique, Linear Inverse Modeling, which has proved useful as an indication of predictabilit...
Main Authors: | Cécile Penland, Megan D. Fowler, Darren L. Jackson, Robert Cifelli |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Land |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-445X/10/7/713 |
Similar Items
-
Ensemble long-term soil moisture forecast using hydrological modeling
by: Bibiana Rodrigues Colossi, et al.
Published: (2020-08-01) -
Predicting the Evolution of the 2014–2016 California Current System Marine Heatwave From an Ensemble of Coupled Global Climate Forecasts
by: Michael G. Jacox, et al.
Published: (2019-08-01) -
Fog and live fuel moisture in coastal California shrublands
by: Nathan C. Emery, et al.
Published: (2018-04-01) -
A live fuel moisture climatology in California
by: Jack R. Drucker, et al.
Published: (2023-07-01) -
The Impact of SMOS Soil Moisture Data Assimilation within the Operational Global Flood Awareness System (GloFAS)
by: Calum Baugh, et al.
Published: (2020-05-01)