Visualization and Analysis of Distributed Hydrologic Model Results Using Open-source

Software Tools

3rd CUAHSI Conference on Hydroinformatics July 15-17, 2015

Thomas Adams thomas.adams@noaa.gov

Outline Significant features of open source tools for

Hydroinformatics

NEXRAD-based Stage3/MPE bias analysis and correction RDHM Distributed Hydrologic Modeling parameter

estimation & simulation visualization

Flood inundation mapping; probabilistic flood inundation mapping

Geostatistical simulations random field generation Publication quality graphics: GRASS GIS, R, GMT

Open Source tools for Hydroinformatics

GRASS GIS, QGIS, SAGA GIS, R, Generic Mapping Tools (GMT), Octave (~Matlab clone)

Linux, Mac OS X, MS-Windows PostgreSQL, SQLite3, MySQL,PostGIS, Mapserver, GeoServer OSM-WMS support Data types: raster, vector, image (satellite), 3D raster, raster timeseries Data formats: grib, grib2, netcdf, hdf5, shapefiles, ascii, Arc Ascii grid

virtually all formats supported through gdal

Fully extensible (add-on modules) and source code changes (C, FORTRAN, Python)

Easily scriptable with Linux shell scripting, Python, Perl Map projection and datum transformations Advanced GUIs

NLDAS vs PRISM precipitationDec 2007

Washington, DC

NWS NEXRADRadar Locations

NEXRAD based Stage3/MPE Precipitation3 May 2002, 24-hr Accumulation

Bias = MPE/PRISM

Distributed Hydrologic Model Parameter Estimation

ISRIC Global Soils Database SSURGO in the U.S.

From: Koren, et al NOAA/NWS/NWC

SAC-SMA Parameters

From: Koren, et al NOAA/NWS/NWC

Soil Hydraulic Properties from Soil Texture

From: Koren, et al NOAA/NWS/NWC

SAC-SMA LZTWM

Source: NOAA/NWS/NWC

Estimated SAC-SMA LZTWM

GRASS GIS 3D NVIZ VisualizationVillahermosa, Tabasco Mexico

Tabasco, MXRDHM Routing Parameter, alpha

250m

01 0

0 02 0

0 03 0

0 04 0

0 05 0

0 06 0

0 0

RDHM simulation vs USGS observed Potomac R at L Falls Pump Station

Oct 2007 Dec. 2013

Date

D is c

h ar g

e ( C

MS )

LegendRDHMUSGS

10/20/2009 11/20/2009 12/20/2009 01/20/2010 02/20/2010 03/20/2010 04/20/2010 05/20/2010

qm = 1.39

Uncalibrated RDHM SAC-SMA

05 0

1 00

1 50

2 00

RDHM simulation vs USGS observed Seneca Creek near Dawsonville, MD

Jan Dec 2003

Date

D is c

h ar g

e ( C

MS )

LegendSimulatedObserved

01/01/2003 03/01/2003 05/01/2003 07/01/2003 09/01/2003 11/01/2003

Bankfull Flow = 85 cms

Flow Exceeding Bankfull Flowbased on USGS Regional Analyses

Flow (cms)

RDHM sac visualization4km spatial resolution

Discharge Precipitation

Flows 1 cms, 250m resolution

Discharge Precipitation

Coupling RDHM sac with HEC-RAS unsteady flow simulations

MMEFS NAEFS Hydrologic Ensembles

http://www.erh.noaa.gov/mmefs/

Potomac River, Washington, DC

USGS 3m DEM

Google Earth Visualization from GRASS kmz file

Geostatistical Random Field Generation

GRASS with gstat

24-hour Precipitation ending 07/04/2006 12UTC

MM5 NEXRAD MPE

Randomly Sample Precipitation and Temperature Fields

-or-

Soil Moisture Field

4 Realizations of Conditional Gaussian Geostatistical Simulations using R/gstat

and GRASS GIS

Unconditional Gaussian Simulation

GRASS & Generic Mapping Tools (GMT) working together

From dylan beaudette USDA/NRCS

Draw your attention to

FLOODFORECASTING

A GLOBAL PERSPECTIVE

THOMAS E. ADAMS, IIITHOMAS C. PAGANO Late 2015/Early 2016

Chapters on National Systems in: Australia Brazil (Amazon Basin) China Columbia EU EFAS Germany India Israel Romania Russia Sweden (hopefully) UK USA also Congo Basin USGS chapter on Streamgauging

End