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...

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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
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author Cécile Penland
Megan D. Fowler
Darren L. Jackson
Robert Cifelli
author_facet Cécile Penland
Megan D. Fowler
Darren L. Jackson
Robert Cifelli
author_sort Cécile Penland
collection DOAJ
description 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 predictability in other fields, to investigate the predictability of soil moisture in northern California. This approach yields a model of soil moisture at 10 stations in the region, with results that indicate the possibility of skillful forecasts at each for lead times of 1–2 weeks. An important advantage of this model is the a priori identification of forecasts of opportunity—conditions under which the model’s forecasts may be expected to have particularly high skill. Given that forecast errors (and inversely, their skill) can be estimated in advance, these findings have the potential to greatly increase the utility of soil moisture forecasts for practical applications including drought and flood forecasting.
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spelling doaj.art-3e72a0a2d3ba46cbac91bf0eb52958b52023-11-22T04:11:36ZengMDPI AGLand2073-445X2021-07-0110771310.3390/land10070713 Forecasts of Opportunity for Northern California Soil MoistureCécile Penland0Megan D. Fowler1Darren L. Jackson2Robert Cifelli3NOAA ESRL/Physical Sciences Laboratory, Boulder, CO 80305, USANOAA ESRL/Physical Sciences Laboratory, Boulder, CO 80305, USANOAA ESRL/Physical Sciences Laboratory, Boulder, CO 80305, USANOAA ESRL/Physical Sciences Laboratory, Boulder, CO 80305, USASoil 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 predictability in other fields, to investigate the predictability of soil moisture in northern California. This approach yields a model of soil moisture at 10 stations in the region, with results that indicate the possibility of skillful forecasts at each for lead times of 1–2 weeks. An important advantage of this model is the a priori identification of forecasts of opportunity—conditions under which the model’s forecasts may be expected to have particularly high skill. Given that forecast errors (and inversely, their skill) can be estimated in advance, these findings have the potential to greatly increase the utility of soil moisture forecasts for practical applications including drought and flood forecasting.https://www.mdpi.com/2073-445X/10/7/713soil moisturepredictabilityforecasts of opportunitylinear inverse modelingCalifornia hydrology
spellingShingle Cécile Penland
Megan D. Fowler
Darren L. Jackson
Robert Cifelli
Forecasts of Opportunity for Northern California Soil Moisture
Land
soil moisture
predictability
forecasts of opportunity
linear inverse modeling
California hydrology
title Forecasts of Opportunity for Northern California Soil Moisture
title_full Forecasts of Opportunity for Northern California Soil Moisture
title_fullStr Forecasts of Opportunity for Northern California Soil Moisture
title_full_unstemmed Forecasts of Opportunity for Northern California Soil Moisture
title_short Forecasts of Opportunity for Northern California Soil Moisture
title_sort forecasts of opportunity for northern california soil moisture
topic soil moisture
predictability
forecasts of opportunity
linear inverse modeling
California hydrology
url https://www.mdpi.com/2073-445X/10/7/713
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AT megandfowler forecastsofopportunityfornortherncaliforniasoilmoisture
AT darrenljackson forecastsofopportunityfornortherncaliforniasoilmoisture
AT robertcifelli forecastsofopportunityfornortherncaliforniasoilmoisture