Hydrological monitoring and seasonal forecasting: Progress and perspectives

Hydrological monitoring and seasonal forecasting is an active research field because of its potential applications in hydrological risk assessment, preparedness and mitigation. In recent decades, developments in ground and satellite measurements have made the hydrometeorological information readily available, and advances in information technology have facilitated the data analysis in a real-time manner. New progress in climate research and modeling has enabled the prediction of seasonal climate with reasonable accuracy and increased resolution. These emerging techniques and advances have enabled more timely acquisition of accurate hydrological fluxes and status, and earlier warning of extreme hydrological events such as droughts and floods. This paper gives current state-of-the-art understanding of the uncertainties in hydrological monitoring and forecasting, reviews the efforts and progress in operational hydrological monitoring system assisted by observations from various sources and experimental seasonal hydrological forecasting, and briefly introduces the current monitoring and forecasting practices in China. The grand challenges and perspectives for the near future are also discussed, including acquiring and extracting reliable information for monitoring and forecasting, predicting realistic hydrological fluxes and states in the river basin being significantly altered by human activity, and filling the gap between numerical models and the end user. We highlight the importance of understanding the needs of the operational water management and the priority to transfer research knowledge to decision-makers.

[1]  Linna Wu,et al.  Evaluating the suitability of TRMM satellite rainfall data for hydrological simulation using a distributed hydrological model in the Weihe River catchment in China , 2015, Journal of Geographical Sciences.

[2]  D. Garen,et al.  Daily Updating of Operational Statistical Seasonal Water Supply Forecasts for the western U.S. 1 , 2009 .

[3]  F. Liu,et al.  Spatial and temporal variability of water discharge in the Yellow River Basin over the past 60 years , 2012, Journal of Geographical Sciences.

[4]  Enli Wang,et al.  Monthly and seasonal streamflow forecasts using rainfall‐runoff modeling and historical weather data , 2011 .

[5]  A. Sankarasubramanian,et al.  Role of climate forecasts and initial conditions in developing streamflow and soil moisture forecasts in a rainfall–runoff regime , 2013 .

[6]  M. Iredell,et al.  The NCEP Climate Forecast System Version 2 , 2014 .

[7]  Dennis P. Lettenmaier,et al.  Columbia River Streamflow Forecasting Based on ENSO and PDO Climate Signals , 1999 .

[8]  Haiqin Li,et al.  Seasonal Hydrological Forecasts for Watersheds over the Southeastern United States for the Boreal Summer and Fall Seasons , 2013 .

[9]  R. Houborg,et al.  Drought indicators based on model‐assimilated Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage observations , 2012 .

[10]  Seokhyeon Kim,et al.  A global comparison of alternate AMSR2 soil moisture products: Why do they differ? , 2015 .

[11]  Xing Yuan,et al.  CFSv 2-Based Seasonal Hydroclimatic Forecasts over the Conterminous United States , 2013 .

[12]  Qiuhong Tang,et al.  Remote sensing: hydrology , 2009 .

[13]  Casey Brown,et al.  Multivariate streamflow forecasting using independent component analysis , 2008 .

[14]  D. Lettenmaier,et al.  Satellite‐based near‐real‐time estimation of irrigated crop water consumption , 2009 .

[15]  Maria Staudinger,et al.  Predictability of low flow - An assessment with simulation experiments , 2014 .

[16]  D. Lettenmaier,et al.  Assimilating remotely sensed snow observations into a macroscale hydrology model , 2006 .

[17]  Jiancheng Shi,et al.  The Soil Moisture Active Passive (SMAP) Mission , 2010, Proceedings of the IEEE.

[18]  Lifeng Luo,et al.  Monitoring and predicting the 2007 U.S. drought , 2007 .

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

[20]  Gerald N. Day,et al.  Extended Streamflow Forecasting Using NWSRFS , 1985 .

[21]  K. Mo,et al.  Do Climate Forecast System (CFSv2) forecasts improve seasonal soil moisture prediction? , 2012 .

[22]  Dennis P. Lettenmaier,et al.  Soil Moisture Drought in China, 1950–2006 , 2011 .

[23]  S. Sorooshian,et al.  Effective and efficient global optimization for conceptual rainfall‐runoff models , 1992 .

[24]  Junjie Cao,et al.  Assessments of joint hydrological extreme risks in a warming climate in China , 2016 .

[25]  Chris Snyder,et al.  A Hybrid ETKF-3DVAR Data Assimilation Scheme for the WRF Model. Part I: Observing System Simulation Experiment , 2008 .

[26]  E. Wood,et al.  A Drought Monitoring and Forecasting System for Sub-Sahara African Water Resources and Food Security , 2014 .

[27]  Maoyi Huang,et al.  Modeling the effects of irrigation on land surface fluxes and states over the conterminous United States: Sensitivity to input data and model parameters , 2013 .

[28]  Taikan Oki,et al.  Global projections of changing risks of floods and droughts in a changing climate , 2008 .

[29]  D. Lettenmaier,et al.  An ensemble approach for attribution of hydrologic prediction uncertainty , 2008 .

[30]  Huilin Gao,et al.  Modeling the Effects of Groundwater-Fed Irrigation on Terrestrial Hydrology over the Conterminous United States , 2014 .

[31]  J. Schaake,et al.  Precipitation and temperature ensemble forecasts from single-value forecasts , 2007 .

[32]  Jimy Dudhia,et al.  Four-Dimensional Variational Data Assimilation for WRF : Formulation and Preliminary Results , 2009 .

[33]  E. Wood,et al.  Bayesian merging of multiple climate model forecasts for seasonal hydrological predictions , 2007 .

[34]  S. Shukla,et al.  On the sources of global land surface hydrologic predictability , 2013 .

[35]  E. Wood,et al.  The role of initial conditions and forcing uncertainties in seasonal hydrologic forecasting , 2009 .

[36]  S. Kanae,et al.  Global flood risk under climate change , 2013 .

[37]  Arun Kumar,et al.  Long‐range experimental hydrologic forecasting for the eastern United States , 2002 .

[38]  Dennis P. Lettenmaier,et al.  Drought Monitoring for Washington State: Indicators and Applications , 2011 .

[39]  D. Lettenmaier,et al.  Effects of land‐cover changes on the hydrological response of interior Columbia River basin forested catchments , 2002 .

[40]  D. Kavetski,et al.  Confronting Input Uncertainty in Environmental Modelling , 2013 .

[41]  Wu Bingfang,et al.  Drought Monitoring and Its Impacts Assessment in Southwest China Using Remote Sensing in the Spring of 2010 , 2010 .

[42]  Geir Evensen,et al.  Advanced Data Assimilation for Strongly Nonlinear Dynamics , 1997 .

[43]  D. Moorhead,et al.  Increasing risk of great floods in a changing climate , 2002, Nature.

[44]  Y. Xue,et al.  Dynamic downscaling of 22-year CFS winter seasonal hindcasts with the UCLA-ETA regional climate model over the United States , 2013, Climate Dynamics.

[45]  Jürgen Vogt,et al.  TOWARD GLOBAL DROUGHT EARLY WARNING CAPABILITY Expanding International Cooperation for the Development of a Framework for Monitoring and Forecasting , 2013 .

[46]  Qiuhong Tang,et al.  Climate change impacts on meteorological, agricultural and hydrological droughts in China , 2015 .

[47]  M. Mccabe,et al.  Closing the terrestrial water budget from satellite remote sensing , 2009 .

[48]  E. Wood,et al.  Characteristics of global and regional drought, 1950–2000: Analysis of soil moisture data from off‐line simulation of the terrestrial hydrologic cycle , 2007 .

[49]  Adam A. Scaife,et al.  What is the current state of scientific knowledge with regard to seasonal and decadal forecasting? , 2012 .

[50]  D. Garen Improved Techniques in Regression‐Based Streamflow Volume Forecasting , 1992 .

[51]  Dennis P. Lettenmaier,et al.  Hydrologic Prediction over the Conterminous United States Using the National Multi-Model Ensemble , 2014 .

[52]  A. Ye,et al.  Seasonal drought predictability and forecast skill over China , 2015 .

[53]  M. Mccabe,et al.  Estimation of regional terrestrial water cycle using multi-sensor remote sensing observations and data assimilation , 2008 .

[54]  Xing Yuan,et al.  Microwave remote sensing of short‐term droughts during crop growing seasons , 2015 .

[55]  T. Oki,et al.  Multimodel Estimate of the Global Terrestrial Water Balance: Setup and First Results , 2011 .

[56]  Faisal Hossain,et al.  A first approach to global runoff simulation using satellite rainfall estimation , 2007 .

[57]  Sujay V. Kumar,et al.  Multiscale assimilation of Advanced Microwave Scanning Radiometer–EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover fraction observations in northern Colorado , 2012 .

[58]  E. Wood,et al.  Probabilistic Seasonal Forecasting of African Drought by Dynamical Models , 2013 .

[59]  Dennis P. Lettenmaier,et al.  Multi‐RCM ensemble downscaling of NCEP CFS winter season forecasts: Implications for seasonal hydrologic forecast skill , 2013 .

[60]  Vijay P. Singh,et al.  Entropy Theory for Streamflow Forecasting , 2015, Environmental Processes.

[61]  D. Lettenmaier,et al.  Twentieth-Century Drought in the Conterminous United States , 2005 .

[62]  M. Rodell,et al.  Assimilation of GRACE Terrestrial Water Storage Data into a Land Surface Model: Results for the Mississippi River Basin , 2008 .

[63]  Hongxing Zheng,et al.  Assessing the impacts of climate variability and human activities on streamflow in the water source area of Baiyangdian Lake , 2012, Journal of Geographical Sciences.

[64]  Yang Hong,et al.  Please Scroll down for Article International Journal of Remote Sensing Evaluation of a Satellite-based Global Flood Monitoring System Evaluation of a Satellite-based Global Flood Monitoring System , 2022 .

[65]  A. Barnston,et al.  Skill of Real-Time Seasonal ENSO Model Predictions During 2002–11: Is Our Capability Increasing? , 2012 .

[66]  Y. Dawen Prediction of monthly inflow to the Danjiangkou reservoir by distributed hydrological model and hydro-climatic teleconnections , 2013 .

[67]  E. Wood,et al.  Integrating weather and climate prediction: Toward seamless hydrologic forecasting , 2014 .

[68]  Kenneth J. Tobin,et al.  Adjusting Satellite Precipitation Data to Facilitate Hydrologic Modeling , 2010 .

[69]  H. Glahn,et al.  The Use of Model Output Statistics (MOS) in Objective Weather Forecasting , 1972 .

[70]  E. Wood,et al.  Seasonal Forecasting of Global Hydrologic Extremes: System Development and Evaluation over GEWEX Basins , 2015 .

[71]  Luis Samaniego,et al.  Seasonal Soil Moisture Drought Prediction over Europe Using the North American Multi-Model Ensemble (NMME) , 2015 .

[72]  Y. Hong,et al.  The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales , 2007 .

[73]  E. Wood,et al.  CFSv2-Based Seasonal Hydroclimatic Forecasts over the Conterminous United States , 2013 .

[74]  Keith Beven,et al.  The future of distributed models: model calibration and uncertainty prediction. , 1992 .

[75]  K. Mo,et al.  Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products , 2012 .

[76]  Niko E. C. Verhoest,et al.  Satellite-Scale Snow Water Equivalent Assimilation into a High-Resolution Land Surface Model , 2010 .

[77]  D. Wilhite Drought as a natural hazard : Concepts and definitions , 2000 .

[78]  Qiuhong Tang,et al.  Combining satellite precipitation and long‐term ground observations for hydrological monitoring in China , 2015 .

[79]  Seong Jin Noh,et al.  Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities , 2012 .

[80]  Soroosh Sorooshian,et al.  Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops , 2006 .

[81]  Marc F. P. Bierkens,et al.  Seasonal Predictability of European Discharge: NAO and Hydrological Response Time , 2009 .

[82]  Quan J. Wang,et al.  A Bayesian Approach to Predictor Selection for Seasonal Streamflow Forecasting , 2012 .

[83]  A. Hou,et al.  The Global Precipitation Measurement Mission , 2014 .

[84]  J. D. Tarpley,et al.  The multi‐institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system , 2004 .

[85]  Jeffrey P. Walker,et al.  THE GLOBAL LAND DATA ASSIMILATION SYSTEM , 2004 .

[86]  W. Lucht,et al.  Causes of change in 20th century global river discharge , 2008 .

[87]  Qiuhong Tang,et al.  Estimating the water budget of major US river basins via remote sensing , 2010 .

[88]  Zhiyong Wu,et al.  Real-time flood forecast and flood alert map over the Huaihe River Basin in China using a coupled hydro-meteorological modeling system , 2008 .

[89]  Wei Gong,et al.  A GUI platform for uncertainty quantification of complex dynamical models , 2016, Environ. Model. Softw..

[90]  Eric F. Wood,et al.  Global analysis of seasonal streamflow predictability using an ensemble prediction system and observations from 6192 small catchments worldwide , 2013 .

[91]  D. Lettenmaier,et al.  A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States* , 2002 .

[92]  Dennis P. Lettenmaier,et al.  A TEST BED FOR NEW SEASONAL HYDROLOGIC FORECASTING APPROACHES IN THE WESTERN UNITED STATES , 2006 .

[93]  Reed M. Maxwell,et al.  Human impacts on terrestrial hydrology: climate change versus pumping and irrigation , 2012 .

[94]  Xin‐Zhong Liang,et al.  Improving cold season precipitation prediction by the nested CWRF‐CFS system , 2011 .

[95]  M. Clark,et al.  Climate Index Weighting Schemes for NWS ESP-Based Seasonal Volume Forecasts , 2004 .

[96]  Eric F. Wood,et al.  A review on climate‐model‐based seasonal hydrologic forecasting: physical understanding and system development , 2015 .

[97]  T. N. Krishnamurti,et al.  Improved Weather and Seasonal Climate Forecasts from Multimodel Superensemble. , 1999, Science.

[98]  Wei Gong,et al.  An evaluation of adaptive surrogate modeling based optimization with two benchmark problems , 2014, Environ. Model. Softw..

[99]  Wade T. Crow,et al.  Benchmarking a Soil Moisture Data Assimilation System for Agricultural Drought Monitoring , 2014 .

[100]  Petra Döll,et al.  Global-scale analysis of river flow alterations due to water withdrawals and reservoirs , 2009 .

[101]  Yu Sun,et al.  Attribution of hydrologic forecast uncertainty within scalable forecast windows , 2013 .

[102]  Kang Ersi,et al.  The relationship between ENSO cycle and high and low-flow in the upper Yellow River , 2003 .

[103]  G. Huffman,et al.  Real‐time global flood estimation using satellite‐based precipitation and a coupled land surface and routing model , 2014 .

[104]  A. Raftery,et al.  Using Bayesian Model Averaging to Calibrate Forecast Ensembles , 2005 .

[105]  Martyn P. Clark,et al.  Incorporating Medium-Range Numerical Weather Model Output into the Ensemble Streamflow Prediction System of the National Weather Service , 2005 .

[106]  James D. Brown,et al.  The Science of NOAA's Operational Hydrologic Ensemble Forecast Service , 2014 .

[107]  Hongwei Zeng,et al.  The evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) in drought monitoring in the Lancang River Basin , 2012, Journal of Geographical Sciences.

[108]  E. Wood,et al.  Seasonal hydrologic predictions of low‐flow conditions over eastern USA during the 2007 drought , 2008 .

[109]  Xiaochao Wang,et al.  A Four-Stage Hybrid Model for Hydrological Time Series Forecasting , 2014, PloS one.

[110]  R. Ibbitt,et al.  Hydrological data assimilation with the ensemble Kalman filter: Use of streamflow observations to update states in a distributed hydrological model , 2007 .

[111]  Dennis P. Lettenmaier,et al.  Skill in streamflow forecasts derived from large-scale estimates of soil moisture and snow , 2010 .

[112]  Roman Krzysztofowicz,et al.  Calibration of Probabilistic Quantitative Precipitation Forecasts , 1999 .

[113]  Arun Kumar,et al.  A retrospective assessment of National Centers for Environmental Prediction climate model-based ensemble hydrologic forecasting in the western United States , 2005 .

[114]  Qing Xiao,et al.  Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific Objectives and Experimental Design , 2013 .

[115]  Regina Below,et al.  Documenting Drought-Related Disasters , 2007 .

[116]  Eric F. Wood,et al.  A Prototype Global Drought Information System Based on Multiple Land Surface Models , 2014 .

[117]  A. Weerts,et al.  Skill of a global seasonal streamflow forecasting system, relative roles of initial conditions and meteorological forcing , 2013 .

[118]  Q. Tang,et al.  A Long-Term Land Surface Hydrologic Fluxes and States Dataset for China , 2014 .

[119]  Bart Nijssen,et al.  Evaluation of Real-Time Satellite Precipitation Data for Global Drought Monitoring , 2014 .

[120]  Qingyun Duan,et al.  An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction , 2006 .

[121]  S. Kanae,et al.  Hydrological Cycles Change in the Yellow River Basin during the Last Half of the Twentieth Century , 2008 .

[122]  S. Kanae,et al.  The Influence of Precipitation Variability and Partial Irrigation within Grid Cells on a Hydrological Simulation , 2007 .

[123]  Lifeng Luo,et al.  Use of Bayesian Merging Techniques in a Multimodel Seasonal Hydrologic Ensemble Prediction System for the Eastern United States , 2008 .

[124]  A. Sahoo,et al.  Multisource estimation of long-term terrestrial water budget for major global river basins , 2012 .

[125]  T. Jiang,et al.  Spatial Variation and Trends in PDSI and SPI Indices and Their Relation to Streamflow in 10 Large Regions of China , 2010 .

[126]  Keiji Imaoka,et al.  Improvement of the AMSR-E Algorithm for Soil Moisture Estimation by Introducing a Fractional Vegetation Coverage Dataset Derived from MODIS Data , 2009 .

[127]  Toshio Koike,et al.  A very fast simulated re-annealing (VFSA) approach for land data assimilation , 2004, Comput. Geosci..

[128]  E. Wood,et al.  Global Trends and Variability in Soil Moisture and Drought Characteristics, 1950–2000, from Observation-Driven Simulations of the Terrestrial Hydrologic Cycle , 2008 .

[129]  Real-time precipitation estimation based on index station percentiles. , 2009 .

[130]  D. Lettenmaier,et al.  Variability and potential sources of predictability of North American runoff , 2004 .

[131]  Dennis P. Lettenmaier,et al.  Seasonal hydrologic prediction in the United States: understanding the role of initial hydrologic conditions and seasonal climate forecast skill , 2011 .