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Located in the northern Mojave Desert, the Indian Wells Valley has an arid environment, receiving only 4-6 inches of precipitation annually. Like most desert areas, Indian Wells Valley communities rely mostly on groundwater for their available groundwater supply. Increases in urban and agricultural development have resulted in increased groundwater pumpage for public and agricultural use, causing large water-level declines throughout the valley. Understanding the rate and amounts of natural groundwater recharge in the Indian Wells Valley is important to developing resource-management plans for the groundwater basin and the communities that depend on it.
Figure 1. Indian Wells Valley, CA study area. The Basin Characterization Model (BCM) was used to refine historical (1981 - 2010) rates of natural recharge into the Valley from 10 sub-watersheds. (Public Domain.)
The Indian Wells Valley is located in the northern Mojave Desert and it has an arid environment, receiving only 4-6 inches of precipitation annually. Like most desert areas, Indian Wells Valley communities rely mostly on groundwater for their available groundwater supply. Increases in urban and agricultural development have resulted in increased groundwater pumpage for public and agricultural use, causing large water-level declines throughout the valley. The USGS California Basin Characterization Model (BCM) (Flint and others, 2013) was used in a revised form to understand the rate and amounts of natural groundwater recharge in the Indian Wells Valley and to refine historical estimates of groundwater recharge in the valley. Results from this study provide validation of recharge estimates from multiple sources representing parts of the water balance, including variables such as potential and actual evapotranspiration, and streamflow measurements, and are used to evaluate historical and future patterns of natural recharge in the valley.
Annual time series of precipitation and average air temperature for three future climate models for Indian Wells Valley, California as simulated by the Basin Characterization Model. (Public domain.)
Development of a Monthly Dataset of Historical (1981-2010) and 3 Projected Futures (2011-2099) for Climate and Hydrology for Indian Wells Valley, CA
The Indian Wells Valley BCM was developed on a monthly time step at a spatial resolution of 270 square meters (m2) with a model domain that includes the 10 sub-watersheds that surround and drain into the Indian Wells Valley (fig. 1). The BCM used historical climate data from 1981-2010, and 3 future climate projections to develop hydrologic output for the study area such as recharge, runoff, and climatic water deficit. Model inputs include topography, soil properties, and geology datasets, which are static with time; monthly gridded precipitation and temperature datasets; and monthly gridded potential evapotranspiration (PET) (Flint and others, 2013).
The Indian Wells Valley BCM was calibrated to 10 watersheds (table 1) to provide recharge, runoff and climatic water deficit estimates for current and future climate conditions following methods in Flint and others (2013) and Flint and Flint (2012).
Table 1. Watersheds used for BCM calibration in Indian Wells Valley
Table 2 shows previous estimates of recharge to the principal aquifer of the Indian Wells Valley. The table shows that local calibration results of the BCM model for the time period 1981-2010 correspond very well to previous recorded estimates, providing an independent approach that corroborates the general average annual estimate of approximately 8,700 acre-feet/year.
Table 2. Previous Estimates of Recharge to the Principal Aquifer in Indian Wells Valley
Data Source
Surface Drainage (acre-feet/year)
Inflow from Rose Valley (acre-feet/year)
Total Natural Recharge (acre-feet/year)
Sierra Nevada
Coso Range
Argus Range
El Paso Mountains
Volcanics
Lee (1913)
27,000
----
----
27,000
Thompson (1929)
39,000
----
10,000
39,000
Kunkel and Chase (1969)
----
----
----
----
----
----
----
Bloyd and Robson (1971)
6,235
3,160
400
----
45
9,795
Dutcher and Moyle (1973)
----
----
----
----
----
----
----
St. Amand (1986)
----
----
----
----
----
----
----
Austin (1988)
at least 30,000
----
----
----
----
----
----
Bean (1989)
6,300
2,000
1,000
400
----
400
9,700
Berenbrock and Martin (1991)
6,236
3,170
400
----
43
9,806
Watt (1993)
8,876
975
0
----
----
9,851
Thyne and others (1999)
8,026
----
----
----
----
1,297
8,026
Bauer (2002)
----
----
----
----
----
3,300
----
Brown and Caldwell (2009)
5,890
300
1,600
50
----
1,000
7,840
Todd (2014)
3,090 to 5,890
300
1,600
50
----
1,000
9,806
Reitz and others (2016)
----
----
----
----
----
----
7,325
USGS (2017) statewide calibration (1981-2010)
943
655
877
203
----
324 valley floor
5,050
USGS (2018) local calibration (1981-2010)
4,181
741
1,006
186
1,824
742 valley floor
8,680
USGS (2018) local calibration (2000-2013)
2,295
536
829
144
1,575
597 valley floor
5,976
Future Climate Projections
Three future climate projections were selected from among 20 models used for California’s Fourth Climate Change Assessment for application to Indian Wells Valley. The 3 models chosen are all from the business-as-usual emissions scenario and represent a range in future projected climate conditions from wet to dry. Annual time series of precipitation and average air temperature for the three future climate models are shown in figure 2, illustrating a rise in air temperature for all models of 4-5 degrees C by end of century, and a range of changes in precipitation from +47% to -22%, depending on the model. Climate and hydrologic data for these three future projections are available via web-based download for all sub-watersheds contributing to the principal aquifer in the Indian Wells Valley.
Below are other science projects associated with this project.
The Basin Characterization Model (BCM) is a simple grid-based model that calculates the water balance for any time step or spatial scale by using climate inputs, precipitation, minimum and maximum air temperature. The BCM can translate fine-scale maps of climate trends and projections into the hydrologic consequences, to permit evaluation of the impacts to water availability at regional, watershed...
The Basin Characterization Model (BCM) is a simple grid-based model that calculates the water balance for any time step or spatial scale by using climate inputs, precipitation, minimum and maximum air temperature. The BCM can translate fine-scale maps of climate trends and projections into the hydrologic consequences, to permit evaluation of the impacts to water availability at regional, watershed...
As a result of climate change, heavy rainfall, as well as extended dry periods, are becoming more common in the Midwestern United States. These trends are only expected to continue. So, increasing the capacity of soil to store water has become more critical. Storing water increases availability in dry conditions. And the absorption of additional water in wet conditions reduces potential flooding...
Basin Characterization Model - Simulating Effects of Iowa Soil Management on Water Availability
As a result of climate change, heavy rainfall, as well as extended dry periods, are becoming more common in the Midwestern United States. These trends are only expected to continue. So, increasing the capacity of soil to store water has become more critical. Storing water increases availability in dry conditions. And the absorption of additional water in wet conditions reduces potential flooding...
The North Coast Resource Partnership (NCRP) is an innovative, stakeholder-driven collaboration among local government, Tribes, watershed groups, and interested partners in the North Coast region of California. The North Coast comprises seven counties, Tribal lands, major watersheds, and a planning area of 19,390 square miles representing 12% of California's landscape. The NCRP integrates long-term...
Climate and Natural Resources Analysis and Planning for California's Northern Coast
The North Coast Resource Partnership (NCRP) is an innovative, stakeholder-driven collaboration among local government, Tribes, watershed groups, and interested partners in the North Coast region of California. The North Coast comprises seven counties, Tribal lands, major watersheds, and a planning area of 19,390 square miles representing 12% of California's landscape. The NCRP integrates long-term...
To create a framework for adapting to climate change, decision makers need to understand specific threats to our water supply, land use suitability, hazard risks, ecosystems and quality of life. A vulnerability assessment that defines the projected degree to which an ecosystem, landscape, or watershed is vulnerable to change will help to create this framework. Presently those who are open to...
To create a framework for adapting to climate change, decision makers need to understand specific threats to our water supply, land use suitability, hazard risks, ecosystems and quality of life. A vulnerability assessment that defines the projected degree to which an ecosystem, landscape, or watershed is vulnerable to change will help to create this framework. Presently those who are open to...
Drought in the Russian River region is keyed to the absence of large winter storms-the RR is winter rain-driven, with a few atmospheric river (AR) storms each year bringing 40-50% of the annual rainfall. Two multi-purpose reservoirs provide storage for warm-season uses, and there is little to no snow pack to extend the runoff season. The same ARs that provide beneficial water supply can also cause...
Coping with Drought in the Russian River Watershed
Drought in the Russian River region is keyed to the absence of large winter storms-the RR is winter rain-driven, with a few atmospheric river (AR) storms each year bringing 40-50% of the annual rainfall. Two multi-purpose reservoirs provide storage for warm-season uses, and there is little to no snow pack to extend the runoff season. The same ARs that provide beneficial water supply can also cause...
Natural Recharge (1981 - 2010), Indian Wells Valley, CA
The USGS California Basin Characterization Model (BCM) was used to understand the rate and amounts of natural groundwater recharge in the Indian Wells Valley and to refine historical estimates of groundwater recharge in the valley.
The USGS California Basin Characterization Model (BCM) was used to understand the rate and amounts of natural groundwater recharge in the Indian Wells Valley and to refine historical estimates of groundwater recharge in the valley.
Basin Characterization Model: Future Scenarios for Indian Wells Valley
Annual time series of precipitation and average air temperature for three future climate models for Indian Wells Valley, California as simulated by the Basin Characterization Model. Three future climate projections were selected from among 20 models used for California’s Fourth Climate Change Assessment for application to Indian Wells Valley.
Annual time series of precipitation and average air temperature for three future climate models for Indian Wells Valley, California as simulated by the Basin Characterization Model. Three future climate projections were selected from among 20 models used for California’s Fourth Climate Change Assessment for application to Indian Wells Valley.
The Basin Characterization Model (BCM) models the interactions of climate with empirically measured landscape attributes including topography, soils, and underlying geology. It is a grid-based model that calculates the water balance for each 18-acre cell (270m resolution) in a given watershed in set time steps for the entire area.
Located in the northern Mojave Desert, the Indian Wells Valley has an arid environment, receiving only 4-6 inches of precipitation annually. Like most desert areas, Indian Wells Valley communities rely mostly on groundwater for their available groundwater supply. Increases in urban and agricultural development have resulted in increased groundwater pumpage for public and agricultural use, causing large water-level declines throughout the valley. Understanding the rate and amounts of natural groundwater recharge in the Indian Wells Valley is important to developing resource-management plans for the groundwater basin and the communities that depend on it.
Figure 1. Indian Wells Valley, CA study area. The Basin Characterization Model (BCM) was used to refine historical (1981 - 2010) rates of natural recharge into the Valley from 10 sub-watersheds. (Public Domain.)
The Indian Wells Valley is located in the northern Mojave Desert and it has an arid environment, receiving only 4-6 inches of precipitation annually. Like most desert areas, Indian Wells Valley communities rely mostly on groundwater for their available groundwater supply. Increases in urban and agricultural development have resulted in increased groundwater pumpage for public and agricultural use, causing large water-level declines throughout the valley. The USGS California Basin Characterization Model (BCM) (Flint and others, 2013) was used in a revised form to understand the rate and amounts of natural groundwater recharge in the Indian Wells Valley and to refine historical estimates of groundwater recharge in the valley. Results from this study provide validation of recharge estimates from multiple sources representing parts of the water balance, including variables such as potential and actual evapotranspiration, and streamflow measurements, and are used to evaluate historical and future patterns of natural recharge in the valley.
Annual time series of precipitation and average air temperature for three future climate models for Indian Wells Valley, California as simulated by the Basin Characterization Model. (Public domain.)
Development of a Monthly Dataset of Historical (1981-2010) and 3 Projected Futures (2011-2099) for Climate and Hydrology for Indian Wells Valley, CA
The Indian Wells Valley BCM was developed on a monthly time step at a spatial resolution of 270 square meters (m2) with a model domain that includes the 10 sub-watersheds that surround and drain into the Indian Wells Valley (fig. 1). The BCM used historical climate data from 1981-2010, and 3 future climate projections to develop hydrologic output for the study area such as recharge, runoff, and climatic water deficit. Model inputs include topography, soil properties, and geology datasets, which are static with time; monthly gridded precipitation and temperature datasets; and monthly gridded potential evapotranspiration (PET) (Flint and others, 2013).
The Indian Wells Valley BCM was calibrated to 10 watersheds (table 1) to provide recharge, runoff and climatic water deficit estimates for current and future climate conditions following methods in Flint and others (2013) and Flint and Flint (2012).
Table 1. Watersheds used for BCM calibration in Indian Wells Valley
Table 2 shows previous estimates of recharge to the principal aquifer of the Indian Wells Valley. The table shows that local calibration results of the BCM model for the time period 1981-2010 correspond very well to previous recorded estimates, providing an independent approach that corroborates the general average annual estimate of approximately 8,700 acre-feet/year.
Table 2. Previous Estimates of Recharge to the Principal Aquifer in Indian Wells Valley
Data Source
Surface Drainage (acre-feet/year)
Inflow from Rose Valley (acre-feet/year)
Total Natural Recharge (acre-feet/year)
Sierra Nevada
Coso Range
Argus Range
El Paso Mountains
Volcanics
Lee (1913)
27,000
----
----
27,000
Thompson (1929)
39,000
----
10,000
39,000
Kunkel and Chase (1969)
----
----
----
----
----
----
----
Bloyd and Robson (1971)
6,235
3,160
400
----
45
9,795
Dutcher and Moyle (1973)
----
----
----
----
----
----
----
St. Amand (1986)
----
----
----
----
----
----
----
Austin (1988)
at least 30,000
----
----
----
----
----
----
Bean (1989)
6,300
2,000
1,000
400
----
400
9,700
Berenbrock and Martin (1991)
6,236
3,170
400
----
43
9,806
Watt (1993)
8,876
975
0
----
----
9,851
Thyne and others (1999)
8,026
----
----
----
----
1,297
8,026
Bauer (2002)
----
----
----
----
----
3,300
----
Brown and Caldwell (2009)
5,890
300
1,600
50
----
1,000
7,840
Todd (2014)
3,090 to 5,890
300
1,600
50
----
1,000
9,806
Reitz and others (2016)
----
----
----
----
----
----
7,325
USGS (2017) statewide calibration (1981-2010)
943
655
877
203
----
324 valley floor
5,050
USGS (2018) local calibration (1981-2010)
4,181
741
1,006
186
1,824
742 valley floor
8,680
USGS (2018) local calibration (2000-2013)
2,295
536
829
144
1,575
597 valley floor
5,976
Future Climate Projections
Three future climate projections were selected from among 20 models used for California’s Fourth Climate Change Assessment for application to Indian Wells Valley. The 3 models chosen are all from the business-as-usual emissions scenario and represent a range in future projected climate conditions from wet to dry. Annual time series of precipitation and average air temperature for the three future climate models are shown in figure 2, illustrating a rise in air temperature for all models of 4-5 degrees C by end of century, and a range of changes in precipitation from +47% to -22%, depending on the model. Climate and hydrologic data for these three future projections are available via web-based download for all sub-watersheds contributing to the principal aquifer in the Indian Wells Valley.
Below are other science projects associated with this project.
The Basin Characterization Model (BCM) is a simple grid-based model that calculates the water balance for any time step or spatial scale by using climate inputs, precipitation, minimum and maximum air temperature. The BCM can translate fine-scale maps of climate trends and projections into the hydrologic consequences, to permit evaluation of the impacts to water availability at regional, watershed...
The Basin Characterization Model (BCM) is a simple grid-based model that calculates the water balance for any time step or spatial scale by using climate inputs, precipitation, minimum and maximum air temperature. The BCM can translate fine-scale maps of climate trends and projections into the hydrologic consequences, to permit evaluation of the impacts to water availability at regional, watershed...
As a result of climate change, heavy rainfall, as well as extended dry periods, are becoming more common in the Midwestern United States. These trends are only expected to continue. So, increasing the capacity of soil to store water has become more critical. Storing water increases availability in dry conditions. And the absorption of additional water in wet conditions reduces potential flooding...
Basin Characterization Model - Simulating Effects of Iowa Soil Management on Water Availability
As a result of climate change, heavy rainfall, as well as extended dry periods, are becoming more common in the Midwestern United States. These trends are only expected to continue. So, increasing the capacity of soil to store water has become more critical. Storing water increases availability in dry conditions. And the absorption of additional water in wet conditions reduces potential flooding...
The North Coast Resource Partnership (NCRP) is an innovative, stakeholder-driven collaboration among local government, Tribes, watershed groups, and interested partners in the North Coast region of California. The North Coast comprises seven counties, Tribal lands, major watersheds, and a planning area of 19,390 square miles representing 12% of California's landscape. The NCRP integrates long-term...
Climate and Natural Resources Analysis and Planning for California's Northern Coast
The North Coast Resource Partnership (NCRP) is an innovative, stakeholder-driven collaboration among local government, Tribes, watershed groups, and interested partners in the North Coast region of California. The North Coast comprises seven counties, Tribal lands, major watersheds, and a planning area of 19,390 square miles representing 12% of California's landscape. The NCRP integrates long-term...
To create a framework for adapting to climate change, decision makers need to understand specific threats to our water supply, land use suitability, hazard risks, ecosystems and quality of life. A vulnerability assessment that defines the projected degree to which an ecosystem, landscape, or watershed is vulnerable to change will help to create this framework. Presently those who are open to...
To create a framework for adapting to climate change, decision makers need to understand specific threats to our water supply, land use suitability, hazard risks, ecosystems and quality of life. A vulnerability assessment that defines the projected degree to which an ecosystem, landscape, or watershed is vulnerable to change will help to create this framework. Presently those who are open to...
Drought in the Russian River region is keyed to the absence of large winter storms-the RR is winter rain-driven, with a few atmospheric river (AR) storms each year bringing 40-50% of the annual rainfall. Two multi-purpose reservoirs provide storage for warm-season uses, and there is little to no snow pack to extend the runoff season. The same ARs that provide beneficial water supply can also cause...
Coping with Drought in the Russian River Watershed
Drought in the Russian River region is keyed to the absence of large winter storms-the RR is winter rain-driven, with a few atmospheric river (AR) storms each year bringing 40-50% of the annual rainfall. Two multi-purpose reservoirs provide storage for warm-season uses, and there is little to no snow pack to extend the runoff season. The same ARs that provide beneficial water supply can also cause...
Natural Recharge (1981 - 2010), Indian Wells Valley, CA
The USGS California Basin Characterization Model (BCM) was used to understand the rate and amounts of natural groundwater recharge in the Indian Wells Valley and to refine historical estimates of groundwater recharge in the valley.
The USGS California Basin Characterization Model (BCM) was used to understand the rate and amounts of natural groundwater recharge in the Indian Wells Valley and to refine historical estimates of groundwater recharge in the valley.
Basin Characterization Model: Future Scenarios for Indian Wells Valley
Annual time series of precipitation and average air temperature for three future climate models for Indian Wells Valley, California as simulated by the Basin Characterization Model. Three future climate projections were selected from among 20 models used for California’s Fourth Climate Change Assessment for application to Indian Wells Valley.
Annual time series of precipitation and average air temperature for three future climate models for Indian Wells Valley, California as simulated by the Basin Characterization Model. Three future climate projections were selected from among 20 models used for California’s Fourth Climate Change Assessment for application to Indian Wells Valley.
The Basin Characterization Model (BCM) models the interactions of climate with empirically measured landscape attributes including topography, soils, and underlying geology. It is a grid-based model that calculates the water balance for each 18-acre cell (270m resolution) in a given watershed in set time steps for the entire area.