Description of the operational National Water Model · NWM v2.0 Improvement: All USGS Gauges...
Transcript of Description of the operational National Water Model · NWM v2.0 Improvement: All USGS Gauges...
The NCAR WRF-Hydro Team
D. Gochis, A. Dugger, M. Barlage, R. Cabell, A. Fanfarillo, K. FitzGerald, A. Gaydos, J. Grim, L. Karsten, M. McAllister, A. McCluskey, J. McCreight, J. Mills, L. Pan, A. RafieeiNasab, R. Rasmussen, L. Read, K. Sampson, E. Towler, D. Yates, W. Yu, Y. Zhang
NOAA Office of Water Prediction
B. Cosgrove, E. Clark, F. Salas, T. Flowers, T. Graziano, Y. Liu, X. Feng, C. Pham, Z. Cui, F. Ogden, M. Glaudamens, N. Frazier, M. Smith
Description of the operational National Water Model
BiodiversityDroughtPollutionFlooding
An Array of Water Issues
“Hydrology of Now”
Spatial ScalesWatershed Global
Temporal ScalesDesign Climate Adaptation
• Operational forecast streamflow guidance for currently
underserved locations
• Spatially continuous estimates and forecasts of
hydrologic states for the nation through enhanced
physical accounting of major water cycle
components (snowpack, soil moisture, channel flow,
major reservoir inflows, flood inundation)
• Seamlessly interface real-time hydrologic products into
an advanced geospatial intelligence framework
• Implement an Earth system modeling architecture that
permits rapid model evolution of new data, science and
technology
Goals of the Initial Implementation of the National Water Model
http://water.noaa.gov/about/nwm
Development Team: NCAR/RAL, NOAA/OWP/NWC, USGS, CUAHSI,
Universities
Sponsor: NOAA Office of Water Prediction
System become fully operational beginning Aug. 16, 2016
• Real-time verification since June 2016 (Rwrfhydro)
• Multiple operational products created by NOAA, academia, private sector
The National Water Model
http://water.noaa.gov/about/nwm
The National Water Model Version 1.2: Technical Specs
Data Throughput:
• Input data per day: 4.45 Terabytes
• Output data per day: 3 Terabytes
• # of river channels: 2.7 million
• # of reservoirs: 1,260
• Total # of computational elements: ~360,000,000
Model Details:
• Number of lines of code: 74,740
• Computer usage: > 100,000 cpu-hours per day
National Streamflow Anomaly Map
Available online at: http://water.noaa.gov/tools/nwm-image-viewer
Development Team: NCAR/RAL, NOAA/OWP/NWC, USGS, CUAHSI, UniversitiesSponsor: NOAA Office of Water Prediction
Full NWM Ecosystem
NWM Forcing Engine
Column Land
Surface Models
Terrain Routing
Modules
Channel & Reservoir
Routing Modules
Geospatial
Pre-Processing
Streamflow Data
Assimilation
Model Evaluation &
Calibration
Web-Mapping
ServicesMO
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Multi-Scale
Spatial
Transformations
WRF-Hydro Options Current NWM Configuration
3 up-to-date column land
models: Noah, NoahMP (w/
built-in multi-physics options),
Sac-HTET
2 groundwater schemes: direct
aggregation storage-release: pass-through
or exponential model
2 subsurface routing
scheme: Boussinesq
shallow saturated flow,
2d aquifer model
NoahMP
Exponential model
Diffusive wave
3 surface routing schemes:
diffusive wave, kinematic
wave, direct basin aggregation
Column Land
Surface Model
Overland
Flow Module
Lateral
Subsurface Flow
Module
Conceptual
Baseflow
Parameterizations
Boussinesq shallow
saturated flow
Channel
Routing/
Hydraulics
5 channel flow schemes: diffusive wave,
kinematic wave, RAPID, custom-network
Muskingum or Muskingum-Cunge
Lake/Reservoir
Management
1 lake routing scheme: level-
pool management
Level-pool
management
Custom-network
(NHDPlus) Muskingum-
Cunge model
WRF-Hydro Physics Permutations
In Development: Upgrading to NWM V2.0 and Beyond
Foundation Established August 2016
Water Resource Model for 2.7 Million Stream
Reaches
First Upgrade May 2017
Increased cycling freq. and forecast length, initial calibration, improved
soil/snow physics
Second UpgradeEarly 2018
Extensive calibration, improved hydrofabric (terrain and stream
connections), improved data assimilation
Second UpgradeMay 2019
Expansion to Hawaii, medium range ensemble configuration, improved
physics, improved calibration, longer analysis cycle, enhanced code
modularity, 8
Versio
nStats
V1.0
+ 31,535 catchments
+ 257,802 km2
V1.1
+ 17,843 catchments
+ 64,450 km2
V1.2
+ 12,468 catchments
+ 94,824 km2
+596 gages
+233 lakes
TOTAL
2,677,135 catchments
8.03M km2
2,729,077 flowlines
7,542 gages
+5,000 lakes
NWM Geospatial Framework based on
EPA/USGS NHDPlusV2:
Version over Version Improvements
Simulated Flowline Gages used for DA
National Water Model V1.2/V2.0CONUS Analysis and Forecast Cycling Configurations
Cycling Forecast Forcing Outputs
Short-Range
Medium-Range
Long-Range
Hourly
4 x Day(7 members)
Daily Ensemble(16 members)
18 hours
Member 1: 10 daysMembers 2-7: 8.5 days
30 days
Downscaled HRRR/RAP
Blend
Downscaled 13kmGFS
Downscaled and Bias-
Corrected CFS
1km Land States,250m Sfc Routed Water,
NHDPlus Streamflow
All: NHDPlusStreamflow
Member 1: 1km Land States,250m Sfc Routed Water
1km Land States,NHDPlus
Streamflow
Analysis
Std: HourlyExt: Daily
Long-Range:4 x day
Std/Long: MRMSExt: RFC MPE
All: Downscaled HRRR/RAP
All: 1km Land States,NHDPlus Streamflow
Std and Ext: 250m Sfc Routed Water
Std: -3 HourExt: -28
HourLong-Range:
-12 hours
The National Water Model: Operational Cycling - CONUS
The NOAA National Water Model
Operational outputs:
1km Soil Moisture
250m Depth to soil saturation
1km Evapotranspiration
250m Surface overland flow depth
NHDPlus channel flow and velocity
Ensemble streamflow predictions
NWM v1.2 Medium Range Forecast Surface Overland Flow Water Depth (mm):Operational Analysis: 00UTC 15 Sep, 2018 Eastern N. Carolina, Hurricane Florence….Forecast guidance up to 6 days in advance
Operational outputs:
-Addition of Hawaii to NWM (3-hr Analysis and 60-hr Short-Range forecast, both forced by NAM-Nest NWP model)-Addition of Extended Analysis (daily 28-hour look-back using RFC-based MPE precipitation from Stage IV) -Addition of separate Long-Range Analysis configuration to initialize LR forecast-Addition of Medium Range ensemble forecast configuration (7 members 4 x day) (mem1=uses current GFS to 10 days, mem2-7=use time lagged GFS out to 8.5 days)
-Use of 13km GFS forcing (versus 0.25 degree in NWM V1.2)-Improved downscaling of GFS and CFS forcing via a Mountain Mapper-based approach
-Out-of-bank parameterization via compound channel and new empirically based channel parameters-Improved snow albedo formulation, new soil evaporation parameter and relaxation of ponded water threshold-Bug fix in the units in one of the groundwater bucket calculations and a fix in reservoir module.
-Improved calibration of parameters by using hourly streamflow data, expanding calibration from ~1100 to ~1400 calibration basins and improving parameter regionalization process. Also, utilized Mountain Mapper-downscaled NLDAS2 forcing in calibration so as to more closely match the forcing used in the new Extended Analysis cycle.
-Increased CONUS reservoirs from ~1500 to ~5500 (impact mostly on non-calibration basins)-Fixed 37 stream breaks-For Hawaii, added 58 USGS gauges for DA, 13,637 new flowlines, 10 reservoirs and 16,625 km^2 of basins -Inclusion of a new elevation base that is harmonized with the NHDPlus channel network
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NWM Version 2.0 Enhancements
V1.0
NWM v2.0 Improvement: All USGS Gauges (Validation Retrospective)
V1.1 V1.2 V2.0
NWM v2.0 Streamflow Bias at USGS Gauges (WY 2014-2016) ● Streamflow bias improves at USGS gauged
basins with each version● Improvements more pronounced at directly
calibrated sites● Model now calibrated/validated against
hourly (previously daily) streamflow obs● Daily metrics also improve● Simulation is for WY2014-2016 (validation
period) and uses NLDAS-2 forcing data (with Mountain Mapper downscaling in v2.0)
● No assimilation of USGS obs
37% have bias < +/-20% 44% have bias < +/-20%31% have bias < +/-20% 34% have bias < +/-20%
A. Dugger, J. Mills, E. Towler, A. RafieeiNasab
V1.0
NWM v2.0 Improvement: All USGS Gauges (Validation Retrospective)
V1.1 V1.2 V2.0
● Streamflow correlation improves at USGS gauged basins with each version
● Improvements more pronounced at directly calibrated sites
● Model now calibrated/validated against hourly (previously daily) streamflow obs
● Daily metrics also improve● Simulation is for WY2014-2016 (validation
period) and uses NLDAS-2 forcing data (with Mountain Mapper downscaling in v2.0)
● No assimilation of USGS obs
NWM v2.0 Streamflow Hourly Correlation at USGS Gauges (WY 2014-2016)
18% have cor >= 0.8 21% have cor >= 0.8 27% have cor >= 0.8 33% have cor >= 0.8
A. Dugger, J. Mills, E. Towler, A. RafieeiNasab
NWM V2.0 Snowpack Analyses and Forecasts
Model vs. SNOTEL SWE
Scatterplots (all CONUS sites)
V1.2
V2.0
National Water Model geographic expansion(with NOAA OWP and National Water Center)
• Hawaii (with APRFC, Honolulu WFO)
– First NWS real-time streamflow guidance for the islands
– Operational with v2.0, scheduled to go live March 2019
– Challenges: Forcings, groundwater, diversions
• Great Lakes (with GLERL)
– US/Canada trans-boundary hydrography dataset (stream reaches, catchments, gage locations)
– Realtime Canadian gage DA to supplement USGS gages
– Scheduled for v2.1 (live March 2020)
– Challenges: Bilateral, complicated water management
• Puerto Rico & Virgin Islands (with SERFC)
– Scheduled for v2.1 (live March 2020)
– Challenges: Forcings, groundwater/karst, damaged infrastructure
• Alaska (with APRFC, LANL, Arctic Testbed, UAF)
– Research/early-stage development
– Challenges: Forcings, permafrost, glaciers
National Water Model Expansion Domains
Honolii Stream near Papaikou
Observed: Solid
NWM Forecast Cycles (10/8 12Z and 18Z): Dashed
NWM distributed soil moisture estimate for
Hawaiian Islands
• Environmental tracers for transport timing prediction• On-demand capability using existing operational NWM• Nearly instantaneous response• Amenable to stochastic perturbation of flows to generate probabilisitc guidance• Example of the Gold King Mine Spill
Model flowpath tracing:
Pearl Harbor - Oahu
NLCD 2011 Land Cover
Channel Properties & Hydraulics
WRF-Hydro Physics: Future Expansion Areas
Land Cover Change Impacts on Hydrology
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• Improved methods to estimate channel parameters (geometry, roughness) across 2.7 million reaches **funded JTTI 2018**
• Improved methods to simulate overbank flow and channel-floodplain interactions
• Incorporate continuously updated, remote sensing based land cover datasets
• Simulate impacts of disturbance (e.g., fire, insect) on flood risk
Image courtesy of USGS
• Coupling WRF-Hydro with water quality tracer and sediment transport models
Image courtesy of USFS
Water Quality Prediction
Integrated Inland-Coastal Prediction
• Develop real-time coastal and riverine inundation maps
• Provide key support for hurricane landfall
• Dynamically couple streamflow module with tide and storm surge models **UCAR proposal submitted with MMM**
• Addition of tracer capabilities to WRF-Hydro (overland, subsurface, groundwater, and channel routing modules)**funded USGS Powell Center 2018**
The National Water Model: A community R2O-O2R effort
• NCAR Team:– Model and dataset
development, model implementation, evaluation
• NOAA OWP Team:– Model onboarding
– Model evaluation
– Forecast product development & water operations center
– R&D scoping
• NCEP NCO Team:– Operational cycling
and data flow
• Broader Community:– R&D, evaluation,
applications
WRF-Hydro® Software Ecosystem
• Ecosystem overview: https://github.com/NCAR/wrfHydro
• Model: https://github.com/NCAR/wrf_hydro_nwm_public
○ Public, community model, with version control system
○ Contributing guidelines, conventions, license, code of conduct
○ Python-based (pytest) testing framework (Python API)
• Python API: https://github.com/NCAR/wrf_hydro_py
• Docker containers: https://github.com/NCAR/wrf_hydro_docker
○ Standard portable environments for working with the model
• Continuous Integration with Travis on Github (Docker + Python)
• “Discontinuous integration” at scale (cheyenne)
○ Large jobs, compilers with licenses
• ARC GIS preprocessing toolbox:
https://github.com/NCAR/wrf_hydro_arcgis_preprocessor
• Analysis tool box: https://github.com/NCAR/rwrfhydro
• Training: https://github.com/NCAR/wrf_hydro_training
WRF-Hydro Website:
https://ral.ucar.edu/projects/wrf_hydro
GitHub:https://github.com/NCAR/wrf_hydro_nwm_public
Docker Hub:
https://hub.docker.com/u/wrfhydro/
National Water Model:
http://water.noaa.gov/about/nwm
Thank you!