Landscape Water Storage and Subsurface Correlation From Satellite Surface Soil Moisture and Precipitation Observations

2019 ◽  
Vol 55 (11) ◽  
pp. 9111-9132 ◽  
Author(s):  
Daniel J. Short Gianotti ◽  
Guido D. Salvucci ◽  
Ruzbeh Akbar ◽  
Kaighin A. McColl ◽  
Richard Cuenca ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Surface Soil ◽  
Water Storage ◽  
Surface Soil Moisture ◽  
Landscape Water

scholarly journals Estimating annual water storage variations in medium-scale (2000–10 000 km<sup>2</sup>) basins using microwave-based soil moisture retrievals

2017 ◽  
Vol 21 (3) ◽  
pp. 1849-1862 ◽  
Author(s):  
Wade T. Crow ◽  
Eunjin Han ◽  
Dongryeol Ryu ◽  
Christopher R. Hain ◽  
Martha C. Anderson
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Water Budget ◽  
Surface Soil ◽  
Water Storage ◽  
Microwave Remote Sensing ◽  
The United States ◽  
Surface Soil Moisture ◽  
Medium Scale ◽  
Annual Water

Abstract. Due to their shallow vertical support, remotely sensed surface soil moisture retrievals are commonly regarded as being of limited value for water budget applications requiring the characterization of temporal variations in total terrestrial water storage (dS ∕ dt). However, advances in our ability to estimate evapotranspiration remotely now allow for the direct evaluation of approaches for quantifying dS ∕ dt via water budget closure considerations. By applying an annual water budget analysis within a series of medium-scale (2000–10 000 km2) basins within the United States, we demonstrate that, despite their clear theoretical limitations, surface soil moisture retrievals derived from passive microwave remote sensing contain statistically significant information concerning dS ∕ dt. This suggests the possibility of using (relatively) higher-resolution microwave remote sensing products to enhance the spatial resolution of dS ∕ dt estimates acquired from gravity remote sensing.

scholarly journals Satellite-observed changes in vegetation sensitivities to surface soil moisture and total water storage variations since the 2011 Texas drought

2017 ◽  
Vol 12 (5) ◽  
pp. 054006 ◽  
Author(s):  
Geruo A ◽  
Isabella Velicogna ◽  
John S Kimball ◽  
Jinyang Du ◽  
Youngwook Kim ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Surface Soil ◽  
Water Storage ◽  
Total Water ◽  
Surface Soil Moisture

scholarly journals Estimating Annual Water Storage Variations Using Microwave-based Soil Moisture Retrievals

2016 ◽  
Author(s):  
Wade T. Crow ◽  
Eunjin Han ◽  
Dongryeol Ryu ◽  
Christopher R. Hain ◽  
Martha C. Anderson
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Water Budget ◽  
Surface Soil ◽  
Water Storage ◽  
Microwave Remote Sensing ◽  
The United States ◽  
Surface Soil Moisture ◽  
Annual Variations ◽  
Annual Water

Abstract. Due to their shallow vertical support, remotely-sensed surface soil moisture retrievals are commonly regarded as being of limited value for water budget applications requiring the characterization of temporal variations in total terrestrial water storage (S). However, advances in our ability to estimate evapotranspiration remotely now allow for the direct evaluation of approaches for quantifying annual variations in S via water budget closure considerations. By applying an annual water budget analysis within a series of medium-scale (2,000–10,000 km2) basins within the United States, we demonstrate that, despite their clear theoretical limitations, surface soil moisture retrievals derived from passive microwave remote sensing contain significant information concerning relative inter-annual variations in S. This suggests the possibility of using (relatively) higher-resolution microwave remote sensing to enhance the spatial resolution of S estimates acquired from gravity remote sensing. However, challenging calibration issues regarding the relationship between S and surface soil moisture must be resolved before the approach can be used for absolute water budget closure.

scholarly journals Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response

2019 ◽  
Vol 23 (2) ◽  
pp. 1067-1081 ◽  
Author(s):  
Siyuan Tian ◽  
Luigi J. Renzullo ◽  
Albert I. J. M. van Dijk ◽  
Paul Tregoning ◽  
Jeffrey P. Walker
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Surface Soil ◽  
Root Zone ◽  
Water Storage ◽  
Microwave Remote Sensing ◽  
Open Loop ◽  
Total Water ◽  
Surface Soil Moisture ◽  
Vegetation Greenness

Abstract. The lack of direct measurement of root-zone soil moisture poses a challenge to the large-scale prediction of ecosystem response to variation in soil water. Microwave remote sensing capability is limited to measuring moisture content in the uppermost few centimetres of soil. The GRACE (Gravity Recovery and Climate Experiment) mission detected the variability in storage within the total water column. However, root-zone soil moisture cannot be separated from GRACE-observed total water storage anomalies without ancillary information on surface water and groundwater changes. In this study, GRACE total water storage anomalies and SMOS near-surface soil moisture observations were jointly assimilated into a hydrological model globally to better estimate the impact of changes in root-zone soil moisture on vegetation vigour. Overall, the accuracy of root-zone soil moisture estimates through the joint assimilation of surface soil moisture and total water storage retrievals showed improved consistency with ground-based soil moisture measurements and satellite-observed greenness when compared to open-loop estimates (i.e. without assimilation). For example, the correlation between modelled and in situ measurements of root-zone moisture increased by 0.1 (from 0.48 to 0.58) and 0.12 (from 0.53 to 0.65) on average for grasslands and croplands, respectively. Improved correlations were found between vegetation greenness and soil water storage on both seasonal variability and anomalies over water-limited regions. Joint assimilation results show a more severe deficit in soil water anomalies in eastern Australia, southern India and eastern Brazil over the period of 2010 to 2016 than the open-loop, consistent with the satellite-observed vegetation greenness anomalies. The assimilation of satellite-observed water content contributes to more accurate knowledge of soil water availability, providing new insights for monitoring hidden water stress and vegetation conditions.

A concept of hybrid terrestrial gravimetry and cosmic ray neutron sensing for investigating hydrological extreme events

2020 ◽  
Author(s):  
Marvin Reich ◽  
Andreas Güntner
Keyword(s):  
Soil Moisture ◽  
Extreme Events ◽  
Surface Soil ◽  
Water Storage ◽  
Cosmic Ray ◽  
Reference Station ◽  
Absolute Gravity ◽  
Surface Soil Moisture ◽  
Near Surface ◽  
Field Campaigns

&lt;p&gt;While studies on hydrological extremes, and floods in particular, usually take a retrospective approach, the German Helmholtz initiative MOSES (Modular Observation Solutions for Earth Systems) aims at understanding extreme events by observing the flood generation processes directly where they occur: in-situ and during the event. As part of this framework, we present a new concept of monitoring regional water storage changes by combining event-based ad-hoc field campaigns with continuous monitoring, using terrestrial gravimetry for total water storage variations and cosmic ray neutron sensing for near-surface soil moisture variations. In this concept, a key role is taken by a continuously monitoring gravimeter station: the gPhone solar cube. This station is energy self-sufficient and easily deployable at any remote location, hosting a gPhoneX, a full weather station, a GNSS antenna and receiver and a cosmic ray neutron probe. The purpose of this station is i) to provide data describing the longer term hydrological dynamics of the study area including the pre-event conditions and ii) to serve as the reference station for the gravity field campaigns during the event. These field campaigns, triggered by forecasts of extreme weather events, are carried out at least prior and after the event on a network of points across the study site. The locations are chosen with respect to the size of the area of interest, topography and travel times between the points. Measurements at each point include relative gravity with two CG-6 instruments, absolute gravity with a Muquans atom quantum gravimeter (AQG) and near-surface soil moisture using three cosmic ray neutron probes in a mobile rover setup. The same routine is strictly repeated at each point to assure uttermost comparability of the measurements. The AQG is also used to calibrate the permanently installed gPhoneX and, thus, to use the gravity reference station for correcting the high instrumental drift of the CG6 gravimeters. The monitoring concept is expected to be transferable to all areas where a similar interest in water storage dynamics at event time scales is strived for.&lt;/p&gt;

Catchment-scale connection between vegetation accessible storage and satellite-derived Soil Water Index

2020 ◽  
Author(s):  
Laurène Bouaziz ◽  
Susan Steele-Dunne ◽  
Jaap Schellekens ◽  
Albrecht Weerts ◽  
Jasper Stam ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Surface Soil ◽  
Root Zone ◽  
Water Storage ◽  
Surface Soil Moisture ◽  
Catchment Scale ◽  
Near Surface ◽  
Water Index ◽  
Optimal Values

&lt;p&gt;Estimates of water volumes stored in the root-zone of vegetation are a key element controlling the hydrological response of a catchment. Remotely-sensed soil moisture products are available globally. However, they are representative of the upper-most few centimeters of the soil. For reliable runoff predictions, we are interested in root-zone soil moisture estimates as they regulate the partitioning of precipitation to drainage and evaporation. The Soil Water Index approximates root-zone soil moisture from near-surface soil moisture and requires a single parameter representing the characteristic time length T of temporal soil moisture variability. Climate and soil properties are typically assumed to influence estimates of T, however, no clear quantitative link has yet been established and often a standard value of 20 days is assumed. In this study, we hypothesize that optimal T values are linked to the accumulated difference between precipitation (water supply) and evaporation (atmospheric water demand) during dry periods with return periods of 20 years, and, thus, to catchment-scale vegetation-accessible water storage capacities. We identify the optimal values of T that provide an adequate match between estimated SWI from several satellite-based near-surface soil moisture products (derived from AMSR2, SMAP and Sentinel-1) and modeled time series of root-zone soil moisture from a calibrated process-based model in 16 contrasting catchments of the Meuse river basin. We found that optimal values of T vary between 1 and 98 days with a median of 17 days across the studied catchments and soil moisture products. We furthermore show that T, which was previously known to increase with increasing depth of the soil layer, is positively and strongly related with catchment-scale root-zone water storage capacity, estimated based on long-term water balance data. &amp;#160;This is useful to generate estimates of root-zone soil moisture from satellite-based surface soil moisture, as they are a key control of the response of hydrological systems.&lt;/p&gt;

scholarly journals Simultaneously estimating surface soil moisture and roughness of bare soils by combining optical and radar data

2021 ◽  
Vol 100 ◽  
pp. 102345
Author(s):  
Xingming Zheng ◽  
Zhuangzhuang Feng ◽  
Lei Li ◽  
Bingzhe Li ◽  
Tao Jiang ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Surface Soil ◽  
Radar Data ◽  
Surface Soil Moisture ◽  
Bare Soils
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