Water Storage Trends in High Mountain Asia

Changes in terrestrial water storage (TWS) in High Mountain Asia (HMA) could have major societal impacts, as the region’s large reservoirs of glaciers, snow, and groundwater provide a freshwater source to more than one billion people. We seek to quantify and close the budget of secular changes in TWS over the span of the GRACE satellite mission (2003–2016). To assess the TWS trend budget we consider a new high-resolution mass trend product determined directly from GRACE L1B data, glacier mass balance derived from Digital Elevation Models (DEMs), groundwater variability determined from confined and unconfined well observations, and terrestrial water budget estimates from a suite of land surface model simulations with the NASA Land Information System (LIS). This effort is successful at closing the aggregated TWS trend budget over the entire HMA region, the glaciated portion of HMA, and the Indus and Ganges basins, where the full-region trends are primarily due to the glacier mass balance and groundwater signals. Additionally, we investigate the closure of TWS trends at individual 1-arc-degree mascons (area ≈12,000 km2); a significant improvement in spatial resolution over previous analyses of GRACE-derived trends. This mascon-level analysis reveals locations where the TWS trends are well-explained by the independent datasets, as well as regions where they are not; identifying specific geographic areas where additional data and model improvements are needed. The accurate characterization of total TWS trends and its components presented here is critical to understanding the complex dynamics of the region, and is a necessary step toward projecting future water mass changes in HMA.

[1]  Abhijit Mukherjee,et al.  Evaluating the Uncertainty of Terrestrial Water Budget Components Over High Mountain Asia , 2019, Front. Earth Sci..

[2]  J. Wahr,et al.  Computations of the viscoelastic response of a 3-D compressible Earth to surface loading: an application to Glacial Isostatic Adjustment in Antarctica and Canada , 2012 .

[3]  Wenxi Lu,et al.  Water storage change in the Himalayas from the Gravity Recovery and Climate Experiment (GRACE) and an empirical climate model , 2011 .

[4]  Abhijit Mukherjee,et al.  Groundwater quality and depletion in the Indo-Gangetic Basin mapped from in situ observations , 2016 .

[5]  W. Tad Pfeffer,et al.  Recent contributions of glaciers and ice caps to sea level rise , 2012, Nature.

[6]  F. Bryan,et al.  Time variability of the Earth's gravity field: Hydrological and oceanic effects and their possible detection using GRACE , 1998 .

[7]  Sujay V. Kumar,et al.  Land information system: An interoperable framework for high resolution land surface modeling , 2006, Environ. Model. Softw..

[8]  G. Heuvelink,et al.  SoilGrids1km — Global Soil Information Based on Automated Mapping , 2014, PloS one.

[9]  D. Chambers,et al.  Estimating Geocenter Variations from a Combination of GRACE and Ocean Model Output , 2008 .

[10]  F. Landerer,et al.  Emerging trends in global freshwater availability , 2018, Nature.

[11]  William Menke,et al.  Review of the Generalized Least Squares Method , 2014, Surveys in Geophysics.

[12]  Abhijit Mukherjee,et al.  Validation of GRACE based groundwater storage anomaly using in-situ groundwater level measurements in India , 2016 .

[13]  Praveen Kumar,et al.  A catchment‐based approach to modeling land surface processes in a general circulation model: 1. Model structure , 2000 .

[14]  Srinivas Bettadpur,et al.  High‐resolution CSR GRACE RL05 mascons , 2016 .

[15]  J. Wahr,et al.  Spatiotemporal evolution of water storage changes in India from the updated GRACE‐derived gravity records , 2016 .

[16]  M. Huss.  Density assumptions for converting geodetic glacier volume change to mass change , 2013 .

[17]  Jian Luo,et al.  Dynamics of freshwater‐seawater mixing zone development in dual‐domain formations , 2010 .

[18]  J. Famiglietti,et al.  Groundwater rejuvenation in parts of India influenced by water-policy change implementation , 2017, Scientific Reports.

[19]  J. Camp,et al.  Antarctica, Greenland and Gulf of Alaska land-ice evolution from an iterated GRACE global mascon solution , 2013, Journal of Glaciology.

[20]  Alexander Y. Sun,et al.  Toward calibration of regional groundwater models using GRACE data , 2012 .

[21]  J. Famiglietti,et al.  Satellite-based estimates of groundwater depletion in India , 2009, Nature.

[22]  Donald F. Argus,et al.  Comment on the paper by Purcell et al (2016) entitled “An Assessment of the ICE-6G_C (VM5a) glacial isostatic adjustment model”: The ICE-6G_C (VM5a) GIA model , 2017 .

[23]  Donald F. Argus,et al.  Comment on “An Assessment of the ICE‐6G_C (VM5a) Glacial Isostatic Adjustment Model” by Purcell et al. , 2018 .

[24]  M. R. van den Broeke,et al.  A Reconciled Estimate of Glacier Contributions to Sea Level Rise: 2003 to 2009 , 2013, Science.

[25]  J. Famiglietti,et al.  A decade of sea level rise slowed by climate-driven hydrology , 2016, Science.

[26]  J. Famiglietti,et al.  Improving parameter estimation and water table depth simulation in a land surface model using GRACE water storage and estimated base flow data , 2010 .

[27]  Andrea Richts,et al.  WHYMAP and the Groundwater Resources Map of the World 1:25,000,000 , 2011 .

[28]  Ian Joughin,et al.  An automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery , 2016 .

[29]  T. Bolch,et al.  The Randolph Glacier inventory: a globally complete inventory of glaciers , 2014 .

[30]  Sergei Rudenko,et al.  Influence of time variable geopotential models on precise orbits of altimetry satellites, global and regional mean sea level trends , 2014 .

[31]  G. Nosenko,et al.  Randolph Glacier Inventory(RGI)-A Dataset of Global Glacier Outlines:Version6.0. Technical Report,Global Land Ice Measurements from Space , 2017 .

[32]  J. R. MacDonald.  The Government of India , 2017 .

[33]  V. M. Tiwari,et al.  Dwindling groundwater resources in northern India, from satellite gravity observations , 2009 .

[34]  Pavel Ditmar,et al.  Optimizing estimates of annual variations and trends in geocenter motion and J2 from a combination of GRACE data and geophysical models , 2016 .

[35]  P. Domenico,et al.  Physical and chemical hydrogeology , 1990 .

[36]  Hamish D. Pritchard,et al.  Asia’s shrinking glaciers protect large populations from drought stress , 2019, Nature.

[37]  Kevin W. Manning,et al.  The community Noah land surface model with multiparameterization options (Noah-MP): 2. Evaluation over global river basins , 2011 .

[38]  Marc F. P. Bierkens,et al.  Consistent increase in High Asia's runoff due to increasing glacier melt and precipitation , 2014 .

[39]  Douglas H. Wrenn,et al.  Invisible water, visible impact: groundwater use and Indian agriculture under climate change , 2016 .

[40]  Y. Wada,et al.  Groundwater depletion causing reduction of baseflow triggering Ganges river summer drying , 2018, Scientific Reports.

[41]  Koji Matsuo,et al.  Time-variable ice loss in Asian high mountains from satellite gravimetry , 2010 .

[42]  Kevin W. Manning,et al.  The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements , 2011 .

[43]  B. D. Loomis,et al.  Regularization and error characterization of GRACE mascons , 2019, Journal of Geodesy.

[44]  Charles E. Kellogg,et al.  Soil Survey Manual , 2017 .

[45]  Arthur E. Hoerl,et al.  Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.

[46]  D. Chambers,et al.  GRACE, time-varying gravity, Earth system dynamics and climate change , 2014, Reports on progress in physics. Physical Society.

[47]  Chong-yu Xu,et al.  High Mountain Asia glacier elevation trends 2003–2008, lake volume changes 1990–2015, and their relation to precipitation changes , 2018 .

[48]  M. Watkins,et al.  Improved methods for observing Earth's time variable mass distribution with GRACE using spherical cap mascons , 2015 .

[49]  M. Croteau.  Daily GRACE Water Storage Estimates for Improving Hydrology Models and Forecasting , 2019 .

[50]  R. Koster,et al.  A catchment-based approach to modeling land surface processes in a general circulation model , 2000 .

[51]  Frédéric Frappart,et al.  Monitoring Groundwater Storage Changes Using the Gravity Recovery and Climate Experiment (GRACE) Satellite Mission: A Review , 2018, Remote. Sens..

[52]  Scott B. Luthcke,et al.  Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation , 2010 .

[53]  B. Osmanoglu,et al.  A Systematic, Regional Assessment of High Mountain Asia Glacier Mass Balance , 2020, Frontiers in Earth Science.

[54]  Bert Wouters,et al.  Global Glacier Mass Loss During the GRACE Satellite Mission (2002-2016) , 2019, Front. Earth Sci..

[55]  D. L. Peck,et al.  Specific Yield Compilation of Specific Yields for Various Materials , 1967 .

[56]  M. Watkins,et al.  GRACE Measurements of Mass Variability in the Earth System , 2004, Science.

[57]  R. Reedy,et al.  Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data , 2018, Proceedings of the National Academy of Sciences.

[58]  J. Kusche,et al.  Parameter Estimation for Satellite Gravity Field Modeling , 2017 .

[59]  E. Berthier,et al.  A spatially resolved estimate of High Mountain Asia glacier mass balances, 2000-2016 , 2017, Nature geoscience.

[60]  E. Fetzer,et al.  The Observed State of the Water Cycle in the Early Twenty-First Century , 2015 .

[61]  A Tikhonov,et al.  Solution of Incorrectly Formulated Problems and the Regularization Method , 1963 .

[62]  M. Brodzik,et al.  Runoff from glacier ice and seasonal snow in High Asia: separating melt water sources in river flow , 2018, Regional Environmental Change.