Manual on Flood Forecasting and Warning

Total Page:16

File Type:pdf, Size:1020Kb

Manual on Flood Forecasting and Warning Quality ManageMeNt Framework g N i MaNual on For more information, please contact: warn World Meteorological Organization Flood Forecasting and Communications and Public Affairs Office g N Tel.: +41 (0) 22 730 83 14/15 – Fax: +41 (0) 22 730 80 27 and Warning sti E-mail: [email protected] ca e or Hydrology and Water Resources Branch f Climate and Water Department lood Tel.: +41 (0) 22 730 84 79 – Fax: +41 (0) 22 730 80 43 E-mail: [email protected] 7 bis, avenue de la Paix – P.O. Box 2300 – CH-1211 Geneva 2 – Switzerland W_102107 l MANUAL ON f www.wmo.int P-C WMO-No. 1072 Manual on Flood Forecasting and Warning WMO-No. 1072 2011 edition WMO-No. 1072 © World Meteorological Organization, 2011 The right of publication in print, electronic and any other form and in any language is reserved by WMO. Short extracts from WMO publications may be reproduced without authorization, provided that the complete source is clearly indicated. Editorial correspondence and requests to publish, reproduce or translate this publication in part or in whole should be addressed to: Chairperson, Publications Board World Meteorological Organization (WMO) 7 bis, avenue de la Paix Tel.: +41 (0) 22 730 84 03 P.O. Box No. 2300 Fax: +41 (0) 22 730 80 40 CH-1211 Geneva 2, Switzerland E-mail: [email protected] ISBN 978-92-63-11072-5 NOTE The designations employed in WMO publications and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of WMO concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. Opinions expressed in WMO publications are those of the authors and do not necessarily reflect those of WMO. The mention of specific companies or products does not imply that they are endorsed or recommended by WMO in preference to others of a similar nature which are not mentioned or advertised. CONTENTS Page FOREWORD ................................................................................................................................................. vii PREFACE ....................................................................................................................................................... ix SUMMARY (English, French, Russian and Spanish) .................................................................................... xi CHAPTER 1. INTRODUCTION ...................................................................................................................... 1-1 1.1 Background ....................................................................................................................................... 1-1 1.2 Scope and contents of the Manual .................................................................................................... 1-2 1.3 Types and causes of floods ................................................................................................................ 1-4 1.3.1 Definitions ........................................................................................................................ 1-4 1.3.2 Types of floods ................................................................................................................. 1-4 1.3.3 Role of flood forecasting in flood management ................................................................. 1-5 1.4 Fundamental considerations of flood forecasting and warning systems ............................................. 1-6 1.4.1 Definition of flood forecasting and warning system .......................................................... 1-6 1.4.2 Meteorogical considerations ............................................................................................. 1-6 1.4.3 Hydrological considerations .............................................................................................. 1-7 1.4.4 Nature of risks and impacts .............................................................................................. 1-7 1.4.5 Dissemination of forecasts and warnings ........................................................................... 1-7 1.4.6 Institutional aspects .......................................................................................................... 1-8 1.4.7 Legal aspects .................................................................................................................... 1-9 CHAPTER 2. MAIN ASPECTS OF FLOOD FORECASTING SYSTEMS ............................................................. 2-1 2.1 Basic considerations .......................................................................................................................... 2-1 2.1.1 Types of catchment .......................................................................................................... 2-1 2.1.2 Physical processes ............................................................................................................. 2-1 2.1.3 Type of service .................................................................................................................. 2-3 2.1.4 Forecast lead time ............................................................................................................ 2-3 2.2 Data requirements ............................................................................................................................ 2-5 2.2.1 Overall technical requirements ......................................................................................... 2-5 2.2.2 Hydrological data ............................................................................................................. 2-5 2.2.3 Meteorological data.......................................................................................................... 2-5 2.2.4 Topographic data ............................................................................................................. 2-6 2.2.5 Other information and data .............................................................................................. 2-6 2.3 Infrastructure and human resources .................................................................................................. 2-6 2.3.1 Infrastructure .................................................................................................................... 2-6 2.3.2 Human resources .............................................................................................................. 2-7 2.3.2.1 Examples of team structures............................................................................ 2-8 2.3.2.2 Flood forecasting at a national level ................................................................ 2-8 2.3.2.3 General requirements for staffing a national flood warning service .................. 2-8 2.4 Establishing the concept of operations .............................................................................................. 2-8 CHAPTER 3. FLOOD FORECASTING METHODS AND MODELS ................................................................... 3-1 3.1 Introduction ...................................................................................................................................... 3-1 3.2 Precipitation-driven catchment models ............................................................................................. 3-3 3.2.1 Precipitation monitoring and forecasting .......................................................................... 3-3 3.2.1.1 Rainfall ............................................................................................................ 3-3 3.2.1.2 Snowmelt ....................................................................................................... 3-4 iv MANUAL ON FLOOD FORECASTING AND WARNING Page 3.2.2 Event modelling and continuous simulation...................................................................... 3-4 3.2.3 Mode of operation of flow forecasting models in real time ............................................... 3-4 3.2.3.1 Models operating in non-updating mode ....................................................... 3-4 3.2.3.2 Models operating in updating mode ............................................................... 3-5 3.2.4 Types of rainfall–runoff simulation models ........................................................................ 3-6 3.2.5 Snowmelt–runoff models operating in simulation mode ................................................... 3-6 3.2.6 Models for forecast updating in real time .......................................................................... 3-6 3.2.7 The “multi-model” approach to rainfall–runoff modelling and forecasting ........................ 3-6 3.2.7.1 The case for multi-modelling ........................................................................... 3-6 3.2.7.2 Forms of multi-model systems ......................................................................... 3-7 3.2.7.3 Ensemble or probabilistic forecasts .................................................................. 3-7 3.2.8 Parameters in hydrological models ................................................................................... 3-8 3.3 Routing models ................................................................................................................................. 3-8 3.3.1 General ............................................................................................................................ 3-8 3.3.2 Hydrological routing ........................................................................................................
Recommended publications
  • Applicability of a Nationwide Flood Forecasting System for Typhoon
    www.nature.com/scientificreports OPEN Applicability of a nationwide food forecasting system for Typhoon Hagibis 2019 Wenchao Ma1*, Yuta Ishitsuka2, Akira Takeshima1, Kenshi Hibino1, Dai Yamazaki1, Kosuke Yamamoto3, Misako Kachi3, Riko Oki3, Taikan Oki4,5 & Kei Yoshimura1* Floods can be devastating in densely populated regions along rivers, so attaining a longer forecast lead time with high accuracy is essential for protecting people and property. Although many techniques are used to forecast foods, sufcient validation of the use of a forecast system for operational alert purposes is lacking. In this study, we validated the fooding locations and times of dike breaking that had occurred during Typhoon Hagibis, which caused severe fooding in Japan in 2019. To achieve the goal of the study, we combined a hydrodynamic model with statistical analysis under forcing by a 39-h prediction of the Japan Meteorological Agency’s Meso-scale model Grid Point Value (MSM-GPV) and obtained dike-break times for all fooded locations for validation. The results showed that this method was accurate in predicting foods at 130 locations, approximately 91.6% of the total of 142 fooded locations, with a lead time of approximately 32.75 h. In terms of precision, these successfully predicted locations accounted for 24.0% of the total of 542 locations under a food warning, and on average, the predicted food time was approximately 8.53 h earlier than a given dike-break time. More warnings were issued for major rivers with severe fooding, indicating that the system is sensitive to extreme food events and can issue warnings for rivers subject to high risk of fooding.
    [Show full text]
  • Assessment of Antecedent Moisture Condition on Flood Frequency An
    Journal of Hydrology: Regional Studies 26 (2019) 100629 Contents lists available at ScienceDirect Journal of Hydrology: Regional Studies journal homepage: www.elsevier.com/locate/ejrh Assessment of antecedent moisture condition on flood frequency: An experimental study in Napa River Basin, CA T ⁎ Jungho Kima,b, , Lynn Johnsona,b, Rob Cifellib, Andrea Thorstensenc, V. Chandrasekara a Cooperative Institute for Research in the Atmosphere (CIRA), Colorado State University, Fort Collins, CO, USA b NOAA Earth System Research Laboratory, Physical Sciences Division, Boulder, CO, USA c NOAA National Weather Service, North Central River Forecast Center, USA ARTICLE INFO ABSTRACT Keywords: Study region: This study region is the Napa River basin in California whose antecedent soil Flood frequency moisture states and precipitation magnitudes are primary drivers to occur extreme floods. Antecedent moisture condition Study focus: This study assessed the influence of antecedent moisture condition on flood fre- Precipitation frequency quency, based on an experimental application scheme and pre-processing. For this purpose, T- T-year flood simulation year flood simulations were conducted using a distributed hydrologic model. Distributed pre- Distributed hydrologic model cipitation patterns which have an amount of precipitation corresponding to a specific T-year Radar-based precipitation data return period were generated by representative radar-based precipitation fields and precipitation frequency analysis. Dry, normal, and wet of antecedent moisture condition were applied to each T-year flood simulation to reflect variable initial soil moisture states. New hydrological insights for the region: The relationship among flood frequency, antecedent moisture condition, and precipitation frequency was derived for a specific target storm event. For normal antecedent moisture states, the relation showed that T-year precipitation could generate floods having return intervals nearly identical to those derived using gage records.
    [Show full text]
  • National Weather Service Hazard Simplification
    National Weather Service Hazard Simplification: Public Survey Final Report Prepared for National Weather Service Silver Spring, MD Prepared by : Eastern Research Group, Lexington, MA June 1, 2018 Executive Summary ............................................................................................................... ES-1 Overview........................................................................................................................................ ES-1 Current Knowledge ........................................................................................................................ ES-3 Prototype Testing .......................................................................................................................... ES-4 Recommendations ......................................................................................................................... ES-8 1.0 Introduction and Overview ..............................................................................................1 2.0 Message Testing Approach ..............................................................................................4 2.1 Prototypes ............................................................................................................................... 4 2.2 Scenarios and Prompts ............................................................................................................ 5 2.3 Protective Response Questions ..............................................................................................
    [Show full text]
  • Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity
    remote sensing Article Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity Wei Wang 1,2, Jia Liu 1,*, Chuanzhe Li 1, Yuchen Liu 1 and Fuliang Yu 1 1 State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; [email protected] (W.W.); [email protected] (C.L.); [email protected] (Y.L.); yufl@iwhr.com (F.Y.) 2 College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China * Correspondence: [email protected]; Tel.: +86-150-1044-3860 Abstract: The data assimilation technique is an effective method for reducing initial condition errors in numerical weather prediction (NWP) models. This paper evaluated the potential of the weather research and forecasting (WRF) model and its three-dimensional data assimilation (3DVar) module in improving the accuracy of rainfall-runoff prediction through coupled atmospheric-hydrologic systems. The WRF model with the assimilation of radar reflectivity and conventional surface and upper-air observations provided the improved initial and boundary conditions for the hydrological process; subsequently, three atmospheric-hydrological systems with variable complexity were estab- lished by coupling WRF with a lumped, a grid-based Hebei model, and the WRF-Hydro modeling system. Four storm events with different spatial and temporal rainfall distribution from mountainous catchments of northern China were chosen as the study objects. The assimilation results showed a general improvement in the accuracy of rainfall accumulation, with low root mean square error and Citation: Wang, W.; Liu, J.; Li, C.; high correlation coefficients compared to the results without assimilation.
    [Show full text]
  • Flash Flood Alert Toolbox Talk
    Flash Flood Alert Toolbox Talk Flash Flood Warning means flash flooding is occurring or is imminent in the specified area. Move to safe ground immediately. Flash floods can strike any time and any place with little or no warning. In both mountainous and flat terrain, distant rain can be channeled into gullies and ravines, turning a quiet streamside campsite or creek into a rampaging torrent in minutes. City streets can become rivers in seconds. Observe these flash flood safety rules; they could save your life: • Keep alert for signs of heavy rain (thunder and lightning), both where you are and upstream. Watch for rising water levels. • Know where high ground is and get there quickly if you see or hear rapidly rising water. • Be especially cautious at night as it's harder to recognize the danger then. • Do not attempt to walk across or drive through flooded areas or roadways. You will not know the depth of the water. • Don't try to drive through flooded areas. • If your vehicle stalls, abandon it and seek higher ground immediately. During threatening weather listen to commercial radio or NOAA Weather Radio, or watch television for Flash Flood Watch means it is possible that rains will Watch and Warning Bulletins. cause flash flooding in the specified area. Be alert and prepared for a flood emergency. Source: Texas Department of Insurance, Division of Workers’ Compensation Disclaimer: The content in this presentation represents only the views of the presenter. Examples and content within are purely hypothetical and are used for illustrative purposes only and are not intended to reflect Service Lloyds policy or intellectual property.
    [Show full text]
  • Quantitative Flood Forecasting on Small- and Medium-Sized Basins: a Probabilistic Approach for Operational Purposes
    1432 JOURNAL OF HYDROMETEOROLOGY VOLUME 12 Quantitative Flood Forecasting on Small- and Medium-Sized Basins: A Probabilistic Approach for Operational Purposes FRANCESCO SILVESTRO AND NICOLA REBORA CIMA Research Foundation, Savona, Italy LUCA FERRARIS CIMA Research Foundation, Savona, and DIST, University of Genoa, Genoa, Italy (Manuscript received 5 November 2010, in final form 22 June 2011) ABSTRACT The forecast of rainfall-driven floods is one of the main themes of analysis in hydrometeorology and a critical issue for civil protection systems. This work describes a complete hydrometeorological forecast system for small- and medium-sized basins and has been designed for operational applications. In this case, because of the size of the target catchments and to properly account for uncertainty sources in the prediction chain, the authors apply a probabilistic framework. This approach allows for delivering a prediction of streamflow that is valuable for decision makers and that uses as input quantitative precipitation forecasts (QPF) issued by a regional center that is in charge of hydrometeorological predictions in the Liguria region of Italy. This kind of forecast is derived from different meteorological models and from the experience of meteorologists. Single-catchment and multicatchment approaches have been operationally implemented and studied. The hydrometeorological forecasting chain has been applied to a series of case studies with en- couraging results. The implemented system makes effective use of the quantitative information content of rainfall forecasts issued by expert meteorologists for flood-alert purposes. 1. Introduction that it is not possible to tackle the hydrological forecasting problem in a deterministic way (e.g., Krzysztofowicz 2001), Over the last few decades, much effort has been made and consequently they propose probabilistic approaches in the field of flood prediction.
    [Show full text]
  • Fiji Meteorological Service Government of Republic of Fiji
    FIJI METEOROLOGICAL SERVICE GOVERNMENT OF REPUBLIC OF FIJI MEDIA RELEASE No. 13 1pm, Wednesday, 16 December, 2020 SEVERE TC YASA INTENSIFIES FURTHER INTO A CATEGORY 5 SYSTEM AND SLOW MOVING TOWARDS FIJI Warnings A Tropical Cyclone Warning is now in force for Yasawa and Mamanuca Group, Viti Levu, Vanua Levu and nearby smaller islands and expected to be in force for the rest of the group later today. A Tropical Cyclone Alert remains in force for the rest Fiji A Strong Wind Warning remains in force for the rest of Fiji. A Storm Surge and Damaging Heavy Swell Warning is now in force for coastal waters of Rotuma, Yasawa and Mamanuca Group, Viti Levu, Vanua Levu and nearby smaller islands. A Heavy Rain Warning remains in force for the whole of Fiji. A Flash Flood Alert is now in force for all low lying areas and areas adjacent to small streams along Komave to Navua Town, Navua Town to Rewa, Rewa to Korovou and Korovou to Rakiraki in Vanua Levu and is also in force for all low lying areas and areas adjacent to small streams of Vanua Levu along Bua to Dreketi, Dreketi to Labasa and along Labasa to Udu Point. Situation Severe tropical cyclone Yasa has rapidly intensified and upgraded further into a category 5 system at 3am today. Severe TC Yasa was located near 14.6 south latitude and 174.1 east longitude or about 440km west-northwest of Yasawa-i-Rara, about 500km northwest of Nadi and about 395km southwest of Rotuma at midday today. The system is currently moving eastwards at about 6 knots or 11 kilometers per hour.
    [Show full text]
  • A Brief Review of Flood Forecasting Techniques and Their Applications
    International Journal of River Basin Management ISSN: 1571-5124 (Print) 1814-2060 (Online) Journal homepage: http://www.tandfonline.com/loi/trbm20 A Brief review of flood forecasting techniques and their applications Sharad Kumar Jain, Pankaj Mani, Sanjay K. Jain, Pavithra Prakash, Vijay P. Singh, Desiree Tullos, Sanjay Kumar, S. P. Agarwal & A. P. Dimri To cite this article: Sharad Kumar Jain, Pankaj Mani, Sanjay K. Jain, Pavithra Prakash, Vijay P. Singh, Desiree Tullos, Sanjay Kumar, S. P. Agarwal & A. P. Dimri (2018): A Brief review of flood forecasting techniques and their applications, International Journal of River Basin Management, DOI: 10.1080/15715124.2017.1411920 To link to this article: https://doi.org/10.1080/15715124.2017.1411920 Accepted author version posted online: 07 Dec 2017. Published online: 22 Jan 2018. Submit your article to this journal Article views: 21 View related articles View Crossmark data Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=trbm20 INTL. J. RIVER BASIN MANAGEMENT, 2018 https://doi.org/10.1080/15715124.2017.1411920 A Brief review of flood forecasting techniques and their applications Sharad Kumar Jaina, Pankaj Manib, Sanjay K. Jaina, Pavithra Prakashc, Vijay P. Singhd, Desiree Tullose, Sanjay Kumara, S. P. Agarwalf and A. P. Dimrig aNational Institute of Hydrology, Roorkee, India; bNational Institute of Hydrology, Regional Center, Patna, India; cPostdoctoral Researcher, University of California, Davis, USA; dTexas A and M University, College Station, Texas, USA; eOregon State University, Corvallis, OR, USA; fIndian Institute of Remote Sensing, Dehradun, India; gJawaharlal Nehru University, New Delhi, India ABSTRACT ARTICLE HISTORY Flood forecasting (FF) is one the most challenging and difficult problems in hydrology.
    [Show full text]
  • Fountain Hills Warning Area
    FFOOUUNNTTAAIINN HHIILLLLSS FFLLOOOODD RREESSPPOONNSSEE PPLLAANN Photo source: www.myfountainhills.com TTEECCHHNNIICCAALL MMEEMMOORRAANNDDUUMM Prepared For: Flood Control District of Maricopa County 2801 West Durango Street Phoenix, AZ 85009 (602) 506-1501 JE Fuller/ Hydrology & Geomorphology, Inc. 6101 S. Rural Road, Suite 110 Tempe, AZ 85283 (480) 752-2124 April 2002 NOTE: THE USER SHOULD READ THE ENTIRE FLOOD RESPONSE PLAN CAREFULLY AND SHOULD BE AWARE OF ALL ELEMENTS OF THIS PLAN, INCLUDING STRENGTHS AND LIMITATIONS, AND INDIVIDUAL RESPONSIBILITIES. THE FLOOD WARNING/ RESPONSE PLAN PRESENTED HEREIN, AND IN THE DISPATCHER ATLAS AND THE EMERGENCY ACCESS MAP, IS USEFUL AS ONE STEP IN DEVELOPING A FLOOD WARNING SYSTEM FOR THE RESIDENTS WITHIN THE FOUNTAIN HILLS WARNING AREA. HOWEVER, THE POSSIBILITY OF INADVERTENT ERROR IN DESIGN OR FAILURE OF EQUIPMENT FUNCTION EXISTS AND MAY PREVENT THE SYSTEM FROM OPERATING PERFECTLY AT ALL TIMES. THEREFORE, NOTHING CONTAINED HEREIN MAY BE CONSTRUED AS A GUARANTEE OF THE SYSTEM OR ITS OPERATION, OR CREATE ANY LIABILITY ON THE PART OF ANY PARTY OR ITS DIRECTORS, OFFICERS, EMPLOYEES OR AGENTS FOR ANY DAMAGE THAT MAY BE ALLEGED TO RESULT FROM THE OPERATION, OR FAILURE TO OPERATE, OF THE SYSTEM OR ANY OF ITS COMPONENT PARTS. THIS CONSTITUTES NOTICE TO ANY AND ALL PERSONS OR PARTIES THAT THE NATIONAL WEATHER SERVICE, FLOOD CONTROL DISTRICT OF MARICOPA COUNTY, MARICOPA COUNTY DEPARTMENT OF EMERGENCY MANAGEMENT, MARICOPA COUNTY SHERIFF’S OFFICE, FOUNTAIN HILLS MARSHALS DEPARTMENT, RURAL METRO FIRE DEPARTMENT, FOUNTAIN HILLS PUBLIC WORKS DEPARTMENT, AND JE FULLER/ HYDROLOGY & GEOMORPHOLOGY, INC. OR ANY OFFICER, AGENT OR EMPLOYEE THEREOF, SHALL NOT BE LIABLE FOR ANY DEATHS, INJURIES, OR DAMAGES OF WHAT EVER KIND THAT MAY RESULT FROM RELIANCE ON THE TERMS AND CONDITIONS OF THIS SYSTEM.
    [Show full text]
  • Corporate Resilience
    NOT PROTECTIVELY MARKED Corporate Resilience Croydon Council Severe Weather Response Guidance V4.0 October 2020 This document is designed to be printed in A5 “Booklet” form Croydon Resilience Team Place Department Room 2.12, Town Hall, Katharine Street, Croydon, CR0 1NX [email protected] 1 NOT PROTECTIVELY MARKED Contents SECTION A: INTRODUCTION ......................................................................................................................................... 3 DOCUMENT INFORMATION ........................................................................................................................................ 4 CRITICAL INFORMATION ............................................................................................................................................ 5 INTRODUCTION ........................................................................................................................................................ 5 AIM ......................................................................................................................................................................... 5 OBJECTIVES ............................................................................................................................................................ 5 SCOPE .................................................................................................................................................................... 5 RISK AND CONTEXT ................................................................................................................................................
    [Show full text]
  • Texas Flood Forecasting
    Texas flood forecasting A test bed for the National Flood Interoperability Experiment Produce high spatial resolution (1 mile2) flood forecasting products: 1. Local flood emergency planning and response 2. Web services for information sharing National Water Model based on: 1. Radar precipitation 2. Detailed river hydraulic modeling 3. Flood inundation mapping Funding support from UT system Collaboration among UT system institutions The project lead is Dr. David Maidment (maidment@utexasedu) Presented by May Yuan ([email protected]) NGAC Meeting, September 28, 2016 This presentation is based on a briefing to Texas Association of Regional Councils Texas Flood Response Study by Harry R. Evans [email protected] Dr. David K. Arctur [email protected] Dr. David R. Maidment [email protected] Center for Research in Water Resources University of Texas at Austin Briefing for TARC, 9-1-1 Coordinators Association, 21 September 2016 Acknowledgements: Austin Fire Department, COA Watershed Protection, e-911 Coordinators, CSEC National Weather Service, Texas Division of Emergency Management http://kxan.com/2016/05/03/new-technology-hopes-to-predict-flash-floods-before-it-happens/ http://kxan.com/2016/05/03/new-technology-hopes-to-predict-flash-floods-before-it-happens/ Storm Rainfall during 2015 Memorial Day Weekend http://gis.ncdc.noaa.gov/map/viewer/#app=cdo&cfg=radar&theme=radar&display=nexrad Sunday, May 24, noon Where are the corresponding flood maps on the ground? Saturday,Sunday,Saturday,Saturday,Sunday,Sunday, MayMay MayMay May May
    [Show full text]
  • Downloaded 09/27/21 11:47 PM UTC 25.2 METEOROLOGICAL MONOGRAPHS VOLUME 59
    CHAPTER 25 PETERS-LIDARD ET AL. 25.1 Chapter 25 100 Years of Progress in Hydrology a b c c CHRISTA D. PETERS-LIDARD, FAISAL HOSSAIN, L. RUBY LEUNG, NATE MCDOWELL, d e f g MATTHEW RODELL, FRANCISCO J. TAPIADOR, F. JOE TURK, AND ANDREW WOOD a Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, Maryland b Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington c Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, Washington d Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland e Department of Environmental Sciences, Institute of Environmental Sciences, University of Castilla–La Mancha, Toledo, Spain f Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California g Research Applications Laboratory, National Center for Atmospheric Research, Boulder, Colorado ABSTRACT The focus of this chapter is progress in hydrology for the last 100 years. During this period, we have seen a marked transition from practical engineering hydrology to fundamental developments in hydrologic science, including contributions to Earth system science. The first three sections in this chapter review advances in theory, observations, and hydrologic prediction. Building on this foundation, the growth of global hydrology, land–atmosphere interactions and coupling, ecohydrology, and water management are discussed, as well as a brief summary of emerging challenges and future directions. Although the review attempts
    [Show full text]