Water storage change in the Himalayas from the Gravity Recovery and Climate Experiment (GRACE) and an empirical climate model

2011 ◽  
Vol 47 (7) ◽  
Author(s):  
Juana Paul Moiwo ◽  
Yonghui Yang ◽  
Fulu Tao ◽  
Wenxi Lu ◽  
Shumin Han
Keyword(s):  
Climate Model ◽  
Water Storage ◽  
Gravity Recovery ◽  
Storage Change

scholarly journals Evaluation of Water Storage Change of Inland Cryosphere in Northwestern China

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Min Xu ◽  
Shichang Kang ◽  
Jiazhen Li
Keyword(s):  
Water Storage ◽  
Northwestern China ◽  
Satellite Mission ◽  
Pronounced Increase ◽  
The North ◽  
Gravity Fields ◽  
Grace Satellite ◽  
Gravity Recovery ◽  
Storage Change ◽  
Assimilation Model

The Gravity Recovery and Climate Experiment (GRACE) satellite mission provides measurements of Earth’s static and time-variable gravity fields with monthly resolution. In this study, changes of water storage in northwestern China were determined by GRACE monthly gravity field data obtained from 2003 to 2010. Comparisons of water storage change (WSC) simulated by a four-dimensional assimilation model (Noah) and observed by GRACE revealed similar patterns of change and a correlation coefficient of 0.71(P<0.05). Trend analysis indicated significant changes in the spatiotemporal variation of WSC in northwestern China during the 8-year study period, which were stronger in the east than in the west and more pronounced in the south than in the north. The most pronounced increase in water storage occurred in Gansu and Qinghai provinces, but, overall, water storage increased by 0.61 mm/a over northwestern China during the study period. Clear seasonal variations of WSC and precipitation were found, because glacial meltwater and precipitation are the main sources of water in the hydrosphere; meanwhile, the distributions of glaciers and permafrost also affect the spatial distribution of WSC.

scholarly journals Terrestrial Water Storage Changes of Permafrost in the Three-River Source Region of the Tibetan Plateau, China

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Min Xu ◽  
Shichang Kang ◽  
Qiudong Zhao ◽  
Jiazhen Li
Keyword(s):  
Water Balance ◽  
Water Cycle ◽  
Source Region ◽  
Water Storage ◽  
Permafrost Zone ◽  
The Tibetan Plateau ◽  
Continuous Permafrost ◽  
Terrestrial Water ◽  
Gravity Recovery ◽  
Storage Change

Changes in permafrost influence water balance exchanges in watersheds of cryosphere. Water storage change (WSC) is an important factor in water cycle. We used Gravity Recovery and Climate Experiment (GRACE) satellite data to retrieve WSC in the Three-River Source Region and subregions. WSC in four types of permafrost (continuous, seasonal, island, and patchy permafrost) was analyzed during 2003–2010. The result showed that WSC had significant change; it increased by9.06±0.01 mm/a (21.89±0.02×109 m3) over the Three-River Source Region during the study period. The most significant changes of WSC were in continuous permafrost zone, with a total amount of about13.94±0.48×109 m3. The spatial distribution of WSC was in state of gain in the continuous permafrost zone, whereas it was in a state of loss in the other permafrost zones. Little changes of precipitation and runoff occurred in study area, but the WSC increased significantly, according to water balance equation, the changes of runoff and water storage were subtracted from changes of precipitation, and the result showed that changes of evaporation is minus which means the evaporation decreased in the Three-River Source Region during 2003–2010.

Dynamics of Terrestrial Water Storage Change from Satellite and Surface Observations and Modeling

2010 ◽  
Vol 11 (1) ◽  
pp. 156-170 ◽  
Author(s):  
Qiuhong Tang ◽  
Huilin Gao ◽  
Pat Yeh ◽  
Taikan Oki ◽  
Fengge Su ◽  
...  
Keyword(s):  
Water Cycle ◽  
Regional Scale ◽  
Water Storage ◽  
Terrestrial Water Storage ◽  
Surface Observation ◽  
Grace Data ◽  
Terrestrial Water ◽  
Gravity Recovery ◽  
Storage Change ◽  
Surface Observations

Abstract Terrestrial water storage (TWS) is a fundamental component of the water cycle. On a regional scale, measurements of terrestrial water storage change (TWSC) are extremely scarce at any time scale. This study investigates the feasibility of estimating monthly-to-seasonal variations of regional TWSC from modeling and a combination of satellite and in situ surface observations based on water balance computations that use ground-based precipitation observations in both cases. The study area is the Klamath and Sacramento River drainage basins in the western United States (total area of about 110 000 km2). The TWSC from the satellite/surface observation–based estimates is compared with model results and land water storage from the Gravity Recovery and Climate Experiment (GRACE) data. The results show that long-term evapotranspiration estimates and runoff measurements generally balance with observed precipitation, suggesting that the evapotranspiration estimates have relatively small bias for long averaging times. Observations show that storage change in water management reservoirs is about 12% of the seasonal amplitude of the TWSC cycle, but it can be up to 30% at the subbasin scale. Comparing with predevelopment conditions, the satellite/surface observation–based estimates show larger evapotranspiration and smaller runoff than do modeling estimates, suggesting extensive anthropogenic alteration of TWSC in the study area. Comparison of satellite/surface observation–based and GRACE TWSC shows that the seasonal cycle of terrestrial water storage is substantially underestimated by GRACE.

scholarly journals Downscaling GRACE total water storage change using partial least squares regression

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Bramha Dutt Vishwakarma ◽  
Jinwei Zhang ◽  
Nico Sneeuw
Keyword(s):  
Water Mass ◽  
Spatial Scales ◽  
Water Storage ◽  
Temporal Variations ◽  
Least Squares Regression ◽  
Total Water ◽  
Satellite Mission ◽  
Grace Data ◽  
Gravity Recovery ◽  
Storage Change

AbstractThe Gravity Recovery And Climate Experiment (GRACE) satellite mission recorded temporal variations in the Earth’s gravity field, which are then converted to Total Water Storage Change (TWSC) fields representing an anomaly in the water mass stored in all three physical states, on and below the surface of the Earth. GRACE provided a first global observational record of water mass redistribution at spatial scales greater than 63000 km2. This limits their usability in regional hydrological applications. In this study, we implement a statistical downscaling approach that assimilates 0.5° × 0.5° water storage fields from the WaterGAP hydrology model (WGHM), precipitation fields from 3 models, evapotranspiration and runoff from 2 models, with GRACE data to obtain TWSC at a 0.5° × 0.5° grid. The downscaled product exploits dominant common statistical modes between all the hydrological datasets to improve the spatial resolution of GRACE. We also provide open access to scripts that researchers can use to produce downscaled TWSC fields with input observations and models of their own choice.

GRACE-like gridded reconstructions of total water storage change from SLR and statistical techniques

2020 ◽  
Author(s):  
Juergen Kusche ◽  
Anno Löcher ◽  
Li Fupeng ◽  
Roelof Rietbroek
Keyword(s):  
Climate Model ◽  
Water Storage ◽  
Current Data ◽  
Learning Approaches ◽  
Total Water ◽  
Multilinear Regression ◽  
Mass Rate ◽  
Enso Events ◽  
Data Record ◽  
Storage Change

&lt;p&gt;The total water storage change (TWSC) data record from the GRACE mission has found numerous applications in hydrology, oceanography, cryosphere, solid Earth and sea level research, and climate sciences. However, GRACE was only launched in 2002 and it lasted until 2017 with an increasing number of missing data, while GRACE-FO continued in May 2018. There will be no TWSC data within a gap of at least 11 months, and no GRACE-like data exists prior to 2002. As a result the current data record is not sufficiently long to for validating climate model predictions even for the long-term mean of TWSC, let alone for the probability of extreme events.&lt;/p&gt;&lt;p&gt;In this contribution we will discuss ways to reconstruct terrestrial TWSC from either geodetic or hydrometeorological data, or possibly from a combination. We will present new reconstructions of TWSC from 1992 onwards from satellite laser ranging (SLR) and from statistical learning methods, discuss various approaches, and compare to conventional SLR solutions, the Humphrey (2019) statistical reconstruction, and to GRACE in the more recent time frame. We show that both geodetic SLR analysis and/or multilinear regression or machine learning approaches can be successfully applied in a regularized framework where spatial modes from a GRACE-era TWSC decomposition inform the reconstructions. We show that these reconstructions reproduce many phenomena seen in modelling studies beyond the seasonal cycle; e.g. the suspected gradual onset of Greenland mass loss around 1998-2000, increase ocean mass rate since about 2011, or the presence of ENSO events.&lt;/p&gt;

Drought Patterns over the Amazon River Basin (1993-2019) as Interpreted by the Climate-driven Total Water Storage Change Fields

2020 ◽  
Author(s):  
Fupeng Li ◽  
Zhengtao Wang ◽  
Nengfang Chao ◽  
Wei Liang ◽  
Kunjun Tian ◽  
...  
Keyword(s):  
Amazon Basin ◽  
Water Storage ◽  
Severity Index ◽  
Drought Severity ◽  
Total Water ◽  
Decadal Climate ◽  
New Perspective ◽  
Gravity Recovery ◽  
Grace Mission ◽  
Storage Change

&lt;p&gt;&lt;span&gt;The Gravity Recovery and Climate Experiment (GRACE) mission, since 2002, has measured total water storage change (TWSC) and interpreted drought patterns in an unparalleled way. Nevertheless, there are still few sources could be used to understand drought patterns prior to the GRACE era. Here we derived multi-decadal climate-driven TWSC grids and used them to interpret drought patterns (1993-2019) over the Amazon basin. The correlations of climate-driven TWSC as compared to GRACE, GRACE Follow-on, and Swarm TWSC are 0.95, 0.92, and 0.77 in Amazon at grid scale (0.5&amp;#176; resolution). The drought patterns assessed by the climate-driven TWSC are consistent to those interpreted by the Palmer Drought Severity Index and GRACE TWSC. We also found that the 1998 and 2016 drought events in Amazon, both induced by the strong El Ni&amp;#241;o events, show similar drought patterns. This study provides a new perspective for interpreting long-term drought patterns prior to the GRACE period.&lt;/span&gt;&lt;/p&gt;

scholarly journals Study of water storage variations at the Pantanal wetlands area from GRACE monthly mass grids

2019 ◽  
Vol 9 (1) ◽  
pp. 133-143
Author(s):  
Ayelen Pereira ◽  
Cecilia Cornero ◽  
Ana C. O. C. Matos ◽  
M. Cristina Pacino ◽  
Denizar Blitzkow
Keyword(s):  
Water Mass ◽  
Spatial Scales ◽  
Water Storage ◽  
Transport Processes ◽  
Satellite Gravity ◽  
The North ◽  
Paraguay River ◽  
Gravity Recovery ◽  
Grace Mission ◽  
Phase Differences

Abstract The continental water storage is significantly in-fluenced by wetlands, which are highly affected by climate change and anthropogenic influences. The Pantanal, located in the Paraguay river basin, is one of the world’s largest and most important wetlands because of the environmental biodiversity that represents. The satellite gravity mission GRACE (Gravity Recovery And Climate Experiment) provided until 2017 time-variable Earth’s gravity field models that reflected the variations due to mass transport processes-like continental water storage changes-which allowed to study environments such as wetlands, at large spatial scales. The water storage variations for the period 2002-2016, by using monthly land water mass grids of Total Water Storage (TWS) derived from GRACE solutions, were evaluated in the Pantanal area. The capability of the GRACE mission for monitoring this particular environment is analyzed, and the comparison of the water mass changes with rainfall and hydrometric heights data at different stations distributed over the Pantanal region was carried out. Additionally, the correlation between the TWS and river gauge measurements, and the phase differences for these variables, were also evaluated. Results show two distinct zones: high correlations and low phase shifts at the north, and smaller correlation values and consequently significant phase differences towards the south. This situation is mainly related to the hydrogeological domains of the area.

scholarly journals Total land water storage change over 2003–2013 estimated from a global mass budget approach

2015 ◽  
Vol 10 (12) ◽  
pp. 124010 ◽  
Author(s):  
H B Dieng ◽  
N Champollion ◽  
A Cazenave ◽  
Y Wada ◽  
E Schrama ◽  
...  
Keyword(s):  
Water Storage ◽  
Mass Budget ◽  
Storage Change ◽  
Land Water

Estimating the water balance and uncertainty bounds in a highly groundwater-dependent and data-scarce areas: An example for the upper Citarum basin

2021 ◽  
Author(s):  
Steven Reinaldo Rusli ◽  
Albrecht Weerts ◽  
Victor Bense
Keyword(s):  
Water Balance ◽  
Water Storage ◽  
Total Water ◽  
Groundwater Abstraction ◽  
Water Balance Components ◽  
Groundwater Storage ◽  
Actual Evaporation ◽  
Basin Scale ◽  
Basin Water ◽  
Storage Change

&lt;p&gt;In this study, we estimate the water balance components of a highly groundwater-dependent and hydrological data-scarce basin of the upper reaches of the Citarum river in West Java, Indonesia. Firstly, we estimate the groundwater abstraction volumes based on population size and a review of literature (0.57mm/day). Estimates of other components like rainfall, actual evaporation, discharge, and total water storage changes are derived from global datasets and are simulated using a distributed hydrological wflow_sbm model which yields additional estimates of discharge, actual evaporation, and total water storage change. We compare each basin water balance estimate as well as quantify the uncertainty of some of the components using the Extended Triple Collocation (ETC) method.&lt;/p&gt;&lt;p&gt;The ETC application on four different rainfall estimates suggests a preference of using the CHIRPS product as the input to the water balance components estimates as it delivers the highest r&lt;sup&gt;2&lt;/sup&gt;&amp;#160; and the lowest RMSE compared to three other sources. From the different data sources and results of the distributed hydrological modeling using CHIRPS as rainfall forcing, we estimate a positive groundwater storage change between 0.12 mm/day - 0.60 mm/day. These results are in agreement with groundwater storage change estimates based upon GRACE gravimetric satellite data, averaged at 0.25 mm/day. The positive groundwater storage change suggests sufficient groundwater recharge occurs compensating for groundwater abstraction. This conclusion seems in agreement with the observation since 2005, although measured in different magnitudes. To validate and narrow the estimated ranges of the basin water storage changes, a devoted groundwater model is necessary to be developed. The result shall also aid in assessing the current and future basin-scale groundwater level changes to support operational water management and policy in the Upper Citarum basin.&lt;/p&gt;

scholarly journals Estimation of Water Storage Changes in Small Endorheic Lakes in Northern Kazakhstan; The Effect of Climate Change and Anthropogenic Influences 

2017 ◽  
Author(s):  
Vadim Yapiyev ◽  
Kanat Samarkhanov ◽  
Dauren Zhumabayev ◽  
Nazym Tulegenova ◽  
Saltanat Jumassultanova ◽  
...  
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Water Resources ◽  
Water Balance ◽  
Climate Model ◽  
Human Impacts ◽  
Water Storage ◽  
Minor Importance ◽  
Climatic Data

Both climate change and anthropogenic activities contribute to the deterioration of terrestrial water resources and ecosystems worldwide. Central Asian endorheic basins are among the most affected regions through both climate and human impacts. Here, we used a digital elevation model, digitized bathymetry maps and Landsat images to estimate the areal water cover extent and volumetric storage changes in small terminal lakes in Burabay National Nature Park (BNNP), located in Northern Central Asia (CA), for the period of 1986 to 2016. Based on the analysis of long-term climatic data from meteorological stations, short-term hydrometeorological network observations, gridded climate datasets (CRU) and global atmospheric reanalysis (ERA Interim), we have evaluated the impacts of historical climatic conditions on the water balance of BNNP lake catchments. We also discuss the future based on regional climate model projections. We attribute the overall decline of BNNP lakes to long-term deficit of water balance with lake evaporation loss exceeding precipitation inputs. Direct anthropogenic water abstraction has a minor importance in water balance. However, the changes in watersheds caused by the expansion of human settlements and roads disrupting water drainage may play a more significant role in lake water storage decline. More precise water resources assessment at the local scale will be facilitated by further development of freely available higher spatial resolution remote sensing products. In addition, the results of this work can be used for the development of lake/reservoir evaporation models driven by remote sensing and atmospheric reanalysis data without the direct use of ground observations.

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