Soil moisture - Revision history

JeffreyJLukas: /* State of the Science Report */

2024-10-21T20:55:38Z

State of the Science Report

← Older revision		Revision as of 16:55, 21 October 2024
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	The National Coordinated Soil Moisture Monitoring Network (NCSMMN) is a recently initiated, multi-institutional program that seeks to integrate multiple forms of soil moisture data from across the United States. The program is application focused, seeking to employ targeted coordination to guide network establishment, data integration, and develop user-focused data products. Links are provided to soil moisture data and maps derived from in-situ, satellite, or modeled data.		The National Coordinated Soil Moisture Monitoring Network (NCSMMN) is a recently initiated, multi-institutional program that seeks to integrate multiple forms of soil moisture data from across the United States. The program is application focused, seeking to employ targeted coordination to guide network establishment, data integration, and develop user-focused data products. Links are provided to soil moisture data and maps derived from in-situ, satellite, or modeled data.

	===State of the Science ~~Report~~===		===[https://wwa.colorado.edu/resources/colorado-river-resources/CRBreport Colorado River Basin Climate and Hydrology: State of the Science report]===

	[https://wwa.colorado.edu/publications/reports/CRBreport/ColoRiver_StateOfScience_WWA_2020_Chapter_5.pdf Chapter 5.4] of the State of the Science report, describes soil moisture and monitoring data in greater detail.		[https://wwa.colorado.edu/publications/reports/CRBreport/ColoRiver_StateOfScience_WWA_2020_Chapter_5.pdf Chapter 5.4] of the State of the Science report, describes soil moisture and monitoring data in greater detail.

JeffreyJLukas: /* Observational Data */

2023-11-24T23:47:00Z

Observational Data

← Older revision		Revision as of 19:47, 24 November 2023
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	=== Observational Data ===		=== Observational Data ===
	====[https://~~www~~.~~nrcs~~.usda.gov/~~wps/portal~~/~~wcc/home/quicklinks/imap~~#version=158&elements=R&networks=SNTL,SCAN&states=!&counties=!&hucs=&minElevation=&maxElevation=&elementSelectType=all&activeOnly=true&activeForecastPointsOnly=false&hucLabels=false&hucIdLabels=false&hucParameterLabels=false&stationLabels=&overlays=&hucOverlays=2&basinOpacity=100&basinNoDataOpacity=40&basemapOpacity=80&maskOpacity=0&mode=data&openSections=dataElement,parameter,date,basin,options,elements,location,networks,baseMaps,labels&controlsOpen=true&popup=914:CO:SNTL&popupMulti=&popupBasin=&base=esriWtm&displayType=station&basinType=4&dataElement=SMS&depth=-20&parameter=PCTPORMED&frequency=DAILY&duration=I&customDuration=1&dayPart=E&year=2022&month=3&day=23&monthPart=E&forecastPubMonth=6&forecastPubDay=1&forecastExceedance=50&seqColor=1&divColor=4&scaleType=D&scaleMin=10&scaleMax=90&referencePeriodType=POR&referenceBegin=1981&referenceEnd=2010&minimumYears=9&hucAssociations=true&lat=39.271&lon=-108.215&zoom=7.0 NRCS SNOTEL/SCAN (current conditions, 20 in. depth)]====		====[https://nwcc-apps.sc.egov.usda.gov/imap/#version=158&elements=R&networks=SNTL,SCAN&states=!&counties=!&hucs=&minElevation=&maxElevation=&elementSelectType=all&activeOnly=true&activeForecastPointsOnly=false&hucLabels=false&hucIdLabels=false&hucParameterLabels=false&stationLabels=&overlays=&hucOverlays=2&basinOpacity=100&basinNoDataOpacity=40&basemapOpacity=80&maskOpacity=0&mode=data&openSections=dataElement,parameter,date,basin,options,elements,location,networks,baseMaps,labels&controlsOpen=true&popup=914:CO:SNTL&popupMulti=&popupBasin=&base=esriWtm&displayType=station&basinType=4&dataElement=SMS&depth=-20&parameter=PCTPORMED&frequency=DAILY&duration=I&customDuration=1&dayPart=E&year=2022&month=3&day=23&monthPart=E&forecastPubMonth=6&forecastPubDay=1&forecastExceedance=50&seqColor=1&divColor=4&scaleType=D&scaleMin=10&scaleMax=90&referencePeriodType=POR&referenceBegin=1981&referenceEnd=2010&minimumYears=9&hucAssociations=true&lat=39.271&lon=-108.215&zoom=7.0 NRCS SNOTEL/SCAN (current conditions, 20 in. depth)]====
	A subset of the NRCS SNOTEL and SCAN stations are equipped with soil moisture sensors. The NRCS Interactive Map allows users to view current conditions at each station by selecting the desired measurement (e.g., soil moisture value at 20 in. depths). Navigate to individual stations to access data on previous soil moisture conditions.		A subset of the NRCS SNOTEL and SCAN stations are equipped with soil moisture sensors. The NRCS Interactive Map allows users to view current conditions at each station by selecting the desired measurement (e.g., soil moisture value at 20 in. depths). Navigate to individual stations to access data on previous soil moisture conditions.

JeffreyJLukas: /* Overview */

2023-10-18T20:31:03Z

Overview

← Older revision		Revision as of 16:31, 18 October 2023
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	There are many ways of measuring soil moisture, including: in-situ data collection (instruments placed in the ground), remotely sensed data collected by airplanes, satellite-based measurements, and modeled measurements–where data such as temperature, rainfall, and vapor pressure deficit are used to estimate soil moisture. Which approach is best for understanding soil conditions depends on the geographic scale under consideration and how the data are being applied. For example, in-situ measurements may be accurate for their location but may not give an accurate picture of conditions for the broader region because soil moisture is so variable spatially. Conversely, satellite data offer a general idea of soil moisture values regionally but may not be accurate at the scale of an agricultural field or single hillslope. For many purposes, a mix of observation types and modeling is used.		There are many ways of measuring soil moisture, including: in-situ data collection (instruments placed in the ground), remotely sensed data collected by airplanes, satellite-based measurements, and modeled measurements–where data such as temperature, rainfall, and vapor pressure deficit are used to estimate soil moisture. Which approach is best for understanding soil conditions depends on the geographic scale under consideration and how the data are being applied. For example, in-situ measurements may be accurate for their location but may not give an accurate picture of conditions for the broader region because soil moisture is so variable spatially. Conversely, satellite data offer a general idea of soil moisture values regionally but may not be accurate at the scale of an agricultural field or single hillslope. For many purposes, a mix of observation types and modeling is used.

	Understanding this ~~widely~~ under-measured variable is relevant for agricultural planning, fire risk assessment, water supply forecasting, drought monitoring, and flood and landslide early warning systems. Consequently there is growing interest in amassing accurate and widespread data records on soil moisture for the Colorado River Basin~~, where monitoring soil moisture conditions is critical for water management and planning, in particular~~.		Understanding this under-measured variable is relevant for agricultural planning, fire risk assessment, water supply forecasting, drought monitoring, and flood and landslide early warning systems. Consequently there is growing interest in amassing accurate and widespread data records on soil moisture for the Colorado River Basin.

	Soil moisture is closely linked to drought. In hot, dry conditions water evaporates directly from the soil, and water loss from plants during respiration (transpiration) increases. This loss of water from the soils (evapotranspiration) not only impacts plant survival during the growing season, it also plays a role in runoff to streams and rivers. Soils act much like a sponge – a dry soil will take up a larger amount of water than a wet soil, which leaves less rain or melting snow to reach streams and rivers as runoff.		Monitoring soil moisture conditions is critical for water management and planning, in particular. Soil moisture is closely linked to drought. In hot, dry conditions water evaporates directly from the soil, and water loss from plants during respiration (transpiration) increases. This loss of water from the soils (evapotranspiration) not only impacts plant survival during the growing season, it also plays a role in runoff to streams and rivers. Soils act much like a sponge – a dry soil will take up a larger amount of water than a wet soil, which leaves less rain or melting snow to reach streams and rivers as runoff.

	In regions with [[snowpack]]-driven hydrology, the amount of water remaining in the soil as the ground freezes in winter is tied to the amount of water soils take up during snowmelt in the spring. In this way, soil moisture creates a link between the prior year’s precipitation and the coming year’s water supply. As temperatures in the basin continue to warm, increased evapotranspiration may lead to decreases in soil moisture, which translates into decreased runoff and reduced water supplies.		In regions with [[snowpack]]-driven hydrology, the amount of water remaining in the soil as the ground freezes in winter is tied to the amount of water soils take up during snowmelt in the spring. In this way, soil moisture creates a link between the prior year’s precipitation and the coming year’s water supply. As temperatures in the basin continue to warm, increased evapotranspiration may lead to decreases in soil moisture, which translates into decreased runoff and reduced water supplies.
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	[[File:NovSoilMoistureCompare 2022-04-21 at 10.21.43 AM.png\|thumb\|700px\|Figure 2. Modeled deep soil moisture in the Upper Colorado River Basin on November 15, 2020 (left) and November 15, 2021 (right), derived from meteorological data by NOAA CBRFC using the Sac-SMA hydrologic model. Very dry and warm weather in summer and fall 2020 led to severe soil moisture deficits going into the snow season, causing reduced runoff efficiency in spring 2021. Conditions improved somewhat by fall 2021, but widespread soil moisture deficits remained. (Sources: CBRFC: https://www.cbrfc.noaa.gov/rmap/grid800/index_soil.php).]]		[[File:NovSoilMoistureCompare 2022-04-21 at 10.21.43 AM.png\|thumb\|700px\|Figure 2. Modeled deep soil moisture in the Upper Colorado River Basin on November 15, 2020 (left) and November 15, 2021 (right), derived from meteorological data by NOAA CBRFC using the Sac-SMA hydrologic model. Very dry and warm weather in summer and fall 2020 led to severe soil moisture deficits going into the snow season, causing reduced runoff efficiency in spring 2021. Conditions improved somewhat by fall 2021, but widespread soil moisture deficits remained. (Sources: CBRFC: https://www.cbrfc.noaa.gov/rmap/grid800/index_soil.php).]]



	==Data and tools==		==Data and tools==

JeffreyJLukas at 20:29, 18 October 2023

2023-10-18T20:29:43Z

← Older revision		Revision as of 16:29, 18 October 2023
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	There are many ways of measuring soil moisture, including: in-situ data collection (instruments placed in the ground), remotely sensed data collected by airplanes, satellite-based measurements, and modeled measurements–where data such as temperature, rainfall, and vapor pressure deficit are used to estimate soil moisture. Which approach is best for understanding soil conditions depends on the geographic scale under consideration and how the data are being applied. For example, in-situ measurements may be accurate for their location but may not give an accurate picture of conditions for the broader region because soil moisture is so variable spatially. Conversely, satellite data offer a general idea of soil moisture values regionally but may not be accurate at the scale of an agricultural field or single hillslope. For many purposes, a mix of observation types and modeling is used.		There are many ways of measuring soil moisture, including: in-situ data collection (instruments placed in the ground), remotely sensed data collected by airplanes, satellite-based measurements, and modeled measurements–where data such as temperature, rainfall, and vapor pressure deficit are used to estimate soil moisture. Which approach is best for understanding soil conditions depends on the geographic scale under consideration and how the data are being applied. For example, in-situ measurements may be accurate for their location but may not give an accurate picture of conditions for the broader region because soil moisture is so variable spatially. Conversely, satellite data offer a general idea of soil moisture values regionally but may not be accurate at the scale of an agricultural field or single hillslope. For many purposes, a mix of observation types and modeling is used.

	Understanding this widely under-measured variable is relevant for agricultural planning, fire risk assessment, water supply forecasting, drought monitoring, and flood and landslide early warning systems. Consequently there is growing interest in amassing accurate and widespread data records on soil moisture for the Colorado River Basin.		Understanding this widely under-measured variable is relevant for agricultural planning, fire risk assessment, water supply forecasting, drought monitoring, and flood and landslide early warning systems. Consequently there is growing interest in amassing accurate and widespread data records on soil moisture for the Colorado River Basin, where monitoring soil moisture conditions is critical for water management and planning, in particular.

			Soil moisture is closely linked to drought. In hot, dry conditions water evaporates directly from the soil, and water loss from plants during respiration (transpiration) increases. This loss of water from the soils (evapotranspiration) not only impacts plant survival during the growing season, it also plays a role in runoff to streams and rivers. Soils act much like a sponge – a dry soil will take up a larger amount of water than a wet soil, which leaves less rain or melting snow to reach streams and rivers as runoff.

			In regions with [[snowpack]]-driven hydrology, the amount of water remaining in the soil as the ground freezes in winter is tied to the amount of water soils take up during snowmelt in the spring. In this way, soil moisture creates a link between the prior year’s precipitation and the coming year’s water supply. As temperatures in the basin continue to warm, increased evapotranspiration may lead to decreases in soil moisture, which translates into decreased runoff and reduced water supplies.

	~~==Relevance==~~

	[[File:NovSoilMoistureCompare 2022-04-21 at 10.21.43 AM.png\|thumb\|700px\|Figure 2. Modeled deep soil moisture in the Upper Colorado River Basin on November 15, 2020 (left) and November 15, 2021 (right), derived from meteorological data by NOAA CBRFC using the Sac-SMA hydrologic model. Very dry and warm weather in summer and fall 2020 led to severe soil moisture deficits going into the snow season, causing reduced runoff efficiency in spring 2021. Conditions improved somewhat by fall 2021, but widespread soil moisture deficits remained. (Sources: CBRFC: https://www.cbrfc.noaa.gov/rmap/grid800/index_soil.php).]]		[[File:NovSoilMoistureCompare 2022-04-21 at 10.21.43 AM.png\|thumb\|700px\|Figure 2. Modeled deep soil moisture in the Upper Colorado River Basin on November 15, 2020 (left) and November 15, 2021 (right), derived from meteorological data by NOAA CBRFC using the Sac-SMA hydrologic model. Very dry and warm weather in summer and fall 2020 led to severe soil moisture deficits going into the snow season, causing reduced runoff efficiency in spring 2021. Conditions improved somewhat by fall 2021, but widespread soil moisture deficits remained. (Sources: CBRFC: https://www.cbrfc.noaa.gov/rmap/grid800/index_soil.php).]]

	For the Colorado River Basin, monitoring soil moisture conditions is critical for water management and planning, in particular. Soil moisture is closely linked to drought. In hot, dry conditions water evaporates directly from the soil, and water loss from plants during respiration (transpiration) increases. This loss of water from the soils (evapotranspiration) not only impacts plant survival during the growing season, it also plays a role in runoff to streams and rivers. Soils act much like a sponge – a dry soil will take up a larger amount of water than a wet soil, which leaves less rain or melting snow to reach streams and rivers as runoff. In regions with [[snowpack]]-driven hydrology, the amount of water remaining in the soil as the ground freezes in winter is tied to the amount of water soils take up during snowmelt in the spring. In this way, soil moisture creates a link between the prior year’s precipitation and the coming year’s water supply. As temperatures in the Colorado River Basin continue to warm, increased evapotranspiration may lead to decreases in soil moisture, which translates into decreased runoff and reduced water supplies for extended periods of time.

	==Data and tools==		==Data and tools==

TanyaPetach at 20:01, 9 September 2022

2022-09-09T20:01:43Z

← Older revision		Revision as of 16:01, 9 September 2022
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	[[File:NovSoilMoistureCompare 2022-04-21 at 10.21.43 AM.png\|thumb\|700px\|Figure 2. Modeled deep soil moisture in the Upper Colorado River Basin on November 15, 2020 (left) and November 15, 2021 (right), derived from meteorological data by NOAA CBRFC using the Sac-SMA hydrologic model. Very dry and warm weather in summer and fall 2020 led to severe soil moisture deficits going into the snow season, causing reduced runoff efficiency in spring 2021. Conditions improved somewhat by fall 2021, but widespread soil moisture deficits remained. (Sources: CBRFC: https://www.cbrfc.noaa.gov/rmap/grid800/index_soil.php).]]		[[File:NovSoilMoistureCompare 2022-04-21 at 10.21.43 AM.png\|thumb\|700px\|Figure 2. Modeled deep soil moisture in the Upper Colorado River Basin on November 15, 2020 (left) and November 15, 2021 (right), derived from meteorological data by NOAA CBRFC using the Sac-SMA hydrologic model. Very dry and warm weather in summer and fall 2020 led to severe soil moisture deficits going into the snow season, causing reduced runoff efficiency in spring 2021. Conditions improved somewhat by fall 2021, but widespread soil moisture deficits remained. (Sources: CBRFC: https://www.cbrfc.noaa.gov/rmap/grid800/index_soil.php).]]

	For the Colorado River Basin, monitoring soil moisture conditions is critical for water management and planning, in particular. Soil moisture is closely linked to drought. In hot, dry conditions water evaporates directly from the soil, and water loss from plants during respiration (transpiration) increases. This loss of water from the soils (evapotranspiration) not only impacts plant survival during the growing season, it also plays a role in runoff to streams and rivers. Soils act much like a sponge – a dry soil will take up a larger amount of water than a wet soil, which leaves less rain or melting snow to reach streams and rivers as runoff. In regions with snowpack-driven hydrology, the amount of water remaining in the soil as the ground freezes in winter is tied to the amount of water soils take up during snowmelt in the spring. In this way, soil moisture creates a link between the prior year’s precipitation and the coming year’s water supply. As temperatures in the Colorado River Basin continue to warm, increased evapotranspiration may lead to decreases in soil moisture, which translates into decreased runoff and reduced water supplies for extended periods of time.		For the Colorado River Basin, monitoring soil moisture conditions is critical for water management and planning, in particular. Soil moisture is closely linked to drought. In hot, dry conditions water evaporates directly from the soil, and water loss from plants during respiration (transpiration) increases. This loss of water from the soils (evapotranspiration) not only impacts plant survival during the growing season, it also plays a role in runoff to streams and rivers. Soils act much like a sponge – a dry soil will take up a larger amount of water than a wet soil, which leaves less rain or melting snow to reach streams and rivers as runoff. In regions with [[snowpack]]-driven hydrology, the amount of water remaining in the soil as the ground freezes in winter is tied to the amount of water soils take up during snowmelt in the spring. In this way, soil moisture creates a link between the prior year’s precipitation and the coming year’s water supply. As temperatures in the Colorado River Basin continue to warm, increased evapotranspiration may lead to decreases in soil moisture, which translates into decreased runoff and reduced water supplies for extended periods of time.

	==Data and tools==		==Data and tools==

JeffreyJLukas: /* Data and tools */

2022-04-22T22:54:05Z

Data and tools

← Older revision		Revision as of 18:54, 22 April 2022
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	=== Observational Data ===		=== Observational Data ===
	===[https://www.nrcs.usda.gov/wps/portal/wcc/home/quicklinks/imap#version=158&elements=R&networks=SNTL,SCAN&states=!&counties=!&hucs=&minElevation=&maxElevation=&elementSelectType=all&activeOnly=true&activeForecastPointsOnly=false&hucLabels=false&hucIdLabels=false&hucParameterLabels=false&stationLabels=&overlays=&hucOverlays=2&basinOpacity=100&basinNoDataOpacity=40&basemapOpacity=80&maskOpacity=0&mode=data&openSections=dataElement,parameter,date,basin,options,elements,location,networks,baseMaps,labels&controlsOpen=true&popup=914:CO:SNTL&popupMulti=&popupBasin=&base=esriWtm&displayType=station&basinType=4&dataElement=SMS&depth=-20&parameter=PCTPORMED&frequency=DAILY&duration=I&customDuration=1&dayPart=E&year=2022&month=3&day=23&monthPart=E&forecastPubMonth=6&forecastPubDay=1&forecastExceedance=50&seqColor=1&divColor=4&scaleType=D&scaleMin=10&scaleMax=90&referencePeriodType=POR&referenceBegin=1981&referenceEnd=2010&minimumYears=9&hucAssociations=true&lat=39.271&lon=-108.215&zoom=7.0 NRCS SNOTEL/SCAN (current conditions, 20 in. depth)]===		====[https://www.nrcs.usda.gov/wps/portal/wcc/home/quicklinks/imap#version=158&elements=R&networks=SNTL,SCAN&states=!&counties=!&hucs=&minElevation=&maxElevation=&elementSelectType=all&activeOnly=true&activeForecastPointsOnly=false&hucLabels=false&hucIdLabels=false&hucParameterLabels=false&stationLabels=&overlays=&hucOverlays=2&basinOpacity=100&basinNoDataOpacity=40&basemapOpacity=80&maskOpacity=0&mode=data&openSections=dataElement,parameter,date,basin,options,elements,location,networks,baseMaps,labels&controlsOpen=true&popup=914:CO:SNTL&popupMulti=&popupBasin=&base=esriWtm&displayType=station&basinType=4&dataElement=SMS&depth=-20&parameter=PCTPORMED&frequency=DAILY&duration=I&customDuration=1&dayPart=E&year=2022&month=3&day=23&monthPart=E&forecastPubMonth=6&forecastPubDay=1&forecastExceedance=50&seqColor=1&divColor=4&scaleType=D&scaleMin=10&scaleMax=90&referencePeriodType=POR&referenceBegin=1981&referenceEnd=2010&minimumYears=9&hucAssociations=true&lat=39.271&lon=-108.215&zoom=7.0 NRCS SNOTEL/SCAN (current conditions, 20 in. depth)]====
	A subset of the NRCS SNOTEL and SCAN stations are equipped with soil moisture sensors. The NRCS Interactive Map allows users to view current conditions at each station by selecting the desired measurement (e.g., soil moisture value at 20 in. depths). Navigate to individual stations to access data on previous soil moisture conditions.		A subset of the NRCS SNOTEL and SCAN stations are equipped with soil moisture sensors. The NRCS Interactive Map allows users to view current conditions at each station by selecting the desired measurement (e.g., soil moisture value at 20 in. depths). Navigate to individual stations to access data on previous soil moisture conditions.

	=== Modeled Data ===		=== Modeled Data ===

	=== [https://www.cbrfc.noaa.gov/rmap/grid800/index_soil.php Colorado River Basin Forecast Center] ===		==== [https://www.cbrfc.noaa.gov/rmap/grid800/index_soil.php Colorado River Basin Forecast Center] ====
	The Colorado River Basin Forecast Center provides modeled soil moisture data (as opposed to single point observations) in map formats. Users can navigate to see either current conditions as compared to a percent normal value or may look at static, gridded maps of modeled soil moisture data from previous months (as in Figure 2).		The Colorado River Basin Forecast Center provides modeled soil moisture data (as opposed to single point observations) in map formats. Users can navigate to see either current conditions as compared to a percent normal value or may look at static, gridded maps of modeled soil moisture data from previous months (as in Figure 2).

	=== [https://nasagrace.unl.edu/ NASA GRACE-FO Soil Moisture Maps] ===		==== [https://nasagrace.unl.edu/ NASA GRACE-FO Soil Moisture Maps] ====
	The NASA GRACE-FO website provides maps of gridded soil moisture conditions for the contiguous United States based on wetness percentile. Maps are updated weekly.		The NASA GRACE-FO website provides maps of gridded soil moisture conditions for the contiguous United States based on wetness percentile. Maps are updated weekly.

JeffreyJLukas: /* NRCS SNOTEL/SCAN (current conditions, 20 in. depth) */

2022-04-22T22:53:13Z

NRCS SNOTEL/SCAN (current conditions, 20 in. depth)

← Older revision		Revision as of 18:53, 22 April 2022
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	=== Observational Data ===		=== Observational Data ===
	===[https://www.nrcs.usda.gov/wps/portal/wcc/home/quicklinks/imap#version=158&elements=R&networks=SNTL,SCAN&states=!&counties=!&hucs=&minElevation=&maxElevation=&elementSelectType=all&activeOnly=true&activeForecastPointsOnly=false&hucLabels=false&hucIdLabels=false&hucParameterLabels=false&stationLabels=&overlays=&hucOverlays=2&basinOpacity=100&basinNoDataOpacity=40&basemapOpacity=80&maskOpacity=0&mode=data&openSections=dataElement,parameter,date,basin,options,elements,location,networks,baseMaps,labels&controlsOpen=true&popup=914:CO:SNTL&popupMulti=&popupBasin=&base=esriWtm&displayType=station&basinType=4&dataElement=SMS&depth=-20&parameter=PCTPORMED&frequency=DAILY&duration=I&customDuration=1&dayPart=E&year=2022&month=3&day=23&monthPart=E&forecastPubMonth=6&forecastPubDay=1&forecastExceedance=50&seqColor=1&divColor=4&scaleType=D&scaleMin=10&scaleMax=90&referencePeriodType=POR&referenceBegin=1981&referenceEnd=2010&minimumYears=9&hucAssociations=true&lat=39.271&lon=-108.215&zoom=7.0 NRCS SNOTEL/SCAN (current conditions, 20 in. depth)]===		===[https://www.nrcs.usda.gov/wps/portal/wcc/home/quicklinks/imap#version=158&elements=R&networks=SNTL,SCAN&states=!&counties=!&hucs=&minElevation=&maxElevation=&elementSelectType=all&activeOnly=true&activeForecastPointsOnly=false&hucLabels=false&hucIdLabels=false&hucParameterLabels=false&stationLabels=&overlays=&hucOverlays=2&basinOpacity=100&basinNoDataOpacity=40&basemapOpacity=80&maskOpacity=0&mode=data&openSections=dataElement,parameter,date,basin,options,elements,location,networks,baseMaps,labels&controlsOpen=true&popup=914:CO:SNTL&popupMulti=&popupBasin=&base=esriWtm&displayType=station&basinType=4&dataElement=SMS&depth=-20&parameter=PCTPORMED&frequency=DAILY&duration=I&customDuration=1&dayPart=E&year=2022&month=3&day=23&monthPart=E&forecastPubMonth=6&forecastPubDay=1&forecastExceedance=50&seqColor=1&divColor=4&scaleType=D&scaleMin=10&scaleMax=90&referencePeriodType=POR&referenceBegin=1981&referenceEnd=2010&minimumYears=9&hucAssociations=true&lat=39.271&lon=-108.215&zoom=7.0 NRCS SNOTEL/SCAN (current conditions, 20 in. depth)]===
	A subset of the NRCS SNOTEL and SCAN stations are equipped with soil moisture sensors. The NRCS Interactive Map allows users to view current conditions at each station by selecting the desired measurement (e.g., soil moisture value at ~~20in~~ depths). Navigate to individual stations to access data on previous soil moisture conditions.		A subset of the NRCS SNOTEL and SCAN stations are equipped with soil moisture sensors. The NRCS Interactive Map allows users to view current conditions at each station by selecting the desired measurement (e.g., soil moisture value at 20 in. depths). Navigate to individual stations to access data on previous soil moisture conditions.

	=== Modeled Data ===		=== Modeled Data ===

JeffreyJLukas: /* Colorado River Basin Forecast Center */

2022-04-22T22:53:01Z

Colorado River Basin Forecast Center

← Older revision		Revision as of 18:53, 22 April 2022
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	=== [https://www.cbrfc.noaa.gov/rmap/grid800/index_soil.php Colorado River Basin Forecast Center] ===		=== [https://www.cbrfc.noaa.gov/rmap/grid800/index_soil.php Colorado River Basin Forecast Center] ===
	The Colorado River Basin Forecast Center provides modeled soil moisture data (as opposed to single point observations) in map formats. Users can navigate to see either current conditions as compared to a percent normal value or may look at static, gridded maps of modeled soil moisture data from previous months.		The Colorado River Basin Forecast Center provides modeled soil moisture data (as opposed to single point observations) in map formats. Users can navigate to see either current conditions as compared to a percent normal value or may look at static, gridded maps of modeled soil moisture data from previous months (as in Figure 2).

	=== [https://nasagrace.unl.edu/ NASA GRACE-FO Soil Moisture Maps] ===		=== [https://nasagrace.unl.edu/ NASA GRACE-FO Soil Moisture Maps] ===

JeffreyJLukas: /* Data and tools */

2022-04-22T22:52:16Z

Data and tools

← Older revision		Revision as of 18:52, 22 April 2022
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	=== Observational Data ===		=== Observational Data ===
	===[https://www.nrcs.usda.gov/wps/portal/wcc/home/quicklinks/imap#version=158&elements=R&networks=SNTL,SCAN&states=!&counties=!&hucs=&minElevation=&maxElevation=&elementSelectType=all&activeOnly=true&activeForecastPointsOnly=false&hucLabels=false&hucIdLabels=false&hucParameterLabels=false&stationLabels=&overlays=&hucOverlays=2&basinOpacity=100&basinNoDataOpacity=40&basemapOpacity=80&maskOpacity=0&mode=data&openSections=dataElement,parameter,date,basin,options,elements,location,networks,baseMaps,labels&controlsOpen=true&popup=914:CO:SNTL&popupMulti=&popupBasin=&base=esriWtm&displayType=station&basinType=4&dataElement=SMS&depth=-20&parameter=PCTPORMED&frequency=DAILY&duration=I&customDuration=1&dayPart=E&year=2022&month=3&day=23&monthPart=E&forecastPubMonth=6&forecastPubDay=1&forecastExceedance=50&seqColor=1&divColor=4&scaleType=D&scaleMin=10&scaleMax=90&referencePeriodType=POR&referenceBegin=1981&referenceEnd=2010&minimumYears=9&hucAssociations=true&lat=39.271&lon=-108.215&zoom=7.0 NRCS SNOTEL/SCAN (current conditions, ~~20in~~ depth)]===		===[https://www.nrcs.usda.gov/wps/portal/wcc/home/quicklinks/imap#version=158&elements=R&networks=SNTL,SCAN&states=!&counties=!&hucs=&minElevation=&maxElevation=&elementSelectType=all&activeOnly=true&activeForecastPointsOnly=false&hucLabels=false&hucIdLabels=false&hucParameterLabels=false&stationLabels=&overlays=&hucOverlays=2&basinOpacity=100&basinNoDataOpacity=40&basemapOpacity=80&maskOpacity=0&mode=data&openSections=dataElement,parameter,date,basin,options,elements,location,networks,baseMaps,labels&controlsOpen=true&popup=914:CO:SNTL&popupMulti=&popupBasin=&base=esriWtm&displayType=station&basinType=4&dataElement=SMS&depth=-20&parameter=PCTPORMED&frequency=DAILY&duration=I&customDuration=1&dayPart=E&year=2022&month=3&day=23&monthPart=E&forecastPubMonth=6&forecastPubDay=1&forecastExceedance=50&seqColor=1&divColor=4&scaleType=D&scaleMin=10&scaleMax=90&referencePeriodType=POR&referenceBegin=1981&referenceEnd=2010&minimumYears=9&hucAssociations=true&lat=39.271&lon=-108.215&zoom=7.0 NRCS SNOTEL/SCAN (current conditions, 20 in. depth)]===
	A subset of the NRCS SNOTEL and SCAN stations are equipped with soil moisture sensors. The NRCS Interactive Map allows users to view current conditions at each station by selecting the desired measurement (e.g., soil moisture value at 20in depths). Navigate to individual stations to access data on previous soil moisture conditions.		A subset of the NRCS SNOTEL and SCAN stations are equipped with soil moisture sensors. The NRCS Interactive Map allows users to view current conditions at each station by selecting the desired measurement (e.g., soil moisture value at 20in depths). Navigate to individual stations to access data on previous soil moisture conditions.

JeffreyJLukas: /* State of the Science Report */

2022-04-22T22:51:18Z

State of the Science Report

← Older revision		Revision as of 18:51, 22 April 2022
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	===State of the Science Report===		===State of the Science Report===

	[https://wwa.colorado.edu/publications/reports/CRBreport/ColoRiver_StateOfScience_WWA_2020_Chapter_5.pdf Chapter 5.4] of the State of the Science report, describes soil moisture in ~~great~~ detail.		[https://wwa.colorado.edu/publications/reports/CRBreport/ColoRiver_StateOfScience_WWA_2020_Chapter_5.pdf Chapter 5.4] of the State of the Science report, describes soil moisture and monitoring data in greater detail.