Status report on the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E)
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1 Status report on the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E) Juliane Mai, Bryan A. Tolson, Hongren Shen, E tienne Gaborit, Nicolas Gasset, Vincent Fortin, Maria Abrahamowicz, Dorothy Durnford, Young Lan Shin, Lauren M. Fry, Tim Hunter, Andrew D. Gronewold, Lacey Mason, Kevin Sampson, Alan F. Hamlet, Shervan Gharari, Saman Razavi, Amin Haghnegahdar, Daniel Princz, and Alain Pietroniro 1
2 Aim of Study Develop strategies to handle cross-border issues of available data and develop unifying approaches Test relative performance of different models Identify respective strengths of models, i.e., learning which models perform best under certain conditions Generating multi-model ensembles to quantify uncertainty of model outputs Impact of modeling decisions on model performance high-quality models 2
3 Current Participating Models & Partners LBRM model (lumped) Lauren Fry (USACE) Tim Hunter (NOAA-GLERL) Drew Gronewold (NOAA-GLERL) Complexity 3
4 Current Participating Models & Partners Complexity LBRM model (lumped) Lauren Fry (USACE) Tim Hunter (NOAA-GLERL) Drew Gronewold (NOAA-GLERL) HYPE model (semi-distributed) Tricia Stadnyk (U of Manitoba) Juliane Mai (U of Waterloo) 3
5 Current Participating Models & Partners Complexity LBRM model (lumped) Lauren Fry (USACE) Tim Hunter (NOAA-GLERL) Drew Gronewold (NOAA-GLERL) HYPE model (semi-distributed) Tricia Stadnyk (U of Manitoba) Juliane Mai (U of Waterloo) MESH model (distributed) Amin Haghnegahdar (U of Sask.) Daniel Princz (U of Sask.) VIC model (distributed) Hongren Shen (U of Waterloo) Shervan Gharari (U of Sask.) 3
6 Current Participating Models & Partners Complexity LBRM model (lumped) Lauren Fry (USACE) Tim Hunter (NOAA-GLERL) Drew Gronewold (NOAA-GLERL) HYPE model (semi-distributed) Tricia Stadnyk (U of Manitoba) Juliane Mai (U of Waterloo) MESH model (distributed) Amin Haghnegahdar (U of Sask.) Daniel Princz (U of Sask.) VIC model (distributed) Hongren Shen (U of Waterloo) Shervan Gharari (U of Sask.) GEM-Hydro (land-surface) WRF-Hydro (land-surface) Étienne Gaborit (ECCC-MSC) Drew Gronewold (NOAA-GLERL) Maria Abrahamowicz (ECCC-MSC) Lauren Read (NCAR) Dorothy Durnford (ECCC-MSC) Katelyn Fitzgerald (NCAR) Young Lan Shin (ECCC-MSC) 3
7 Phases of Inter-Comparison Project Phase I harmonize climate forcings only 4
8 Phases of Inter-Comparison Project Phase I harmonize climate forcings only until Sep 1, 2018: until Oct 1, 2018: until Nov 1, 2018: model setup report on setup data used report on discretization used model calibration model validation 4
9 Phases of Inter-Comparison Project Phase I harmonize climate forcings only until Sep 1, 2018: until Oct 1, 2018: until Nov 1, 2018: model setup report on setup data used report on discretization used model calibration model validation Phase II harmonized climate and all other inputs 4
10 Phases of Inter-Comparison Project Phase I harmonize climate forcings only until Sep 1, 2018: until Oct 1, 2018: until Nov 1, 2018: model setup report on setup data used report on discretization used model calibration model validation Phase II harmonized climate and all other inputs start Sep 1, 2018: start Nov 1, 2018: start Jan 1, 2019: start Mar 1, 2019: input data harmonization model setup model calibration model validation 4
11 Modeling domain 90 W 85 W 80 W 75 W 46 N 46 N 44 N Milwaukee Toronto 44 N 42 N Chicago Detroit 42 N Cleveland 40 N a) J Mai, University of Waterloo GRIP-E IMPC/GWF, W 80 W Data source: Great Lakes Aquatic Habitat Framework database 40 N land area: km 2 water bodies: km 2 total area: km 2 5
12 Meteorologic forcings Regional Deterministic Reforecast System (RDRS) 01 Jan :00:00 UTC 01 Jan :00:00 UTC 44 N 44 N 42 N 42 N 40 N 85 W J Mai, University of Waterloo GRIP-E IMPC/GWF, W TT_40m: Air temperature [ C] a) 85 W 40 N J Mai, University of Waterloo GRIP-E IMPC/GWF, W b) PR0_SFC: Quantity of precipitation [m] Data source: Gasset, N., V. Fortin, M. Carrera, M. Dimitrijevic, E. Gaborit, G. Roy, and N. Gagnon (in prep.), Toward a 35 Years North American Precipitation and Land Surface Reanalysis, Journal of Hydrometeorology. 6
13 Meteorologic forcings Regional Deterministic Reforecast System (RDRS) Precipitation Rate [m] SFC Inc. Shortwave Radiation [W/m 2 ] SFC Inc. Longwave Radiation [W/m 2 ] SFC Atmospheric Pressure [mb] SFC Air Temperature [ C] 40m Specific Humidity [kg/kg] 40m Wind Components (along grid) [kts] 40m Corr. Wind Components (along W-E/S-N) [kts] 40m Wind Speed [kts] 40m Wind Direction [degree] 40m Data source: Gasset, N., V. Fortin, M. Carrera, M. Dimitrijevic, É. Gaborit, G. Roy, and N. Gagnon (in prep.), Toward a 35 Years North American Precipitation and Land Surface Reanalysis, Journal of Hydrometeorology. 6
14 Candidate Dataset Digital Elevation Model Data source: HydroSheds by USGS based on conditioned, global SRTM DEM at 3 (90m) res. Alternative(s): ASTER Global DEM from NASA, 1 (30 m) 7
15 Candidate Dataset Flow Direction and Accumulation Data source: generated from DEM at 3 (90m) resolution 8
16 Candidate Dataset Soil data Data source: FAO Harmonized World Soil Database (HWSD) v1.2 at 30 (1km) resolution Alternative(s): Soil Landscapes of Canada (SLC), 1:
17 Candidate Dataset Land-cover data Data source: Global 500m MODIS MCD12Q1 product from NASA incl. 6 classif. schemes ( UMD) Alternative(s): - ESA GlobCover 2009, 300 m Landsat dataset for North America, 30m - Land use & cover from the Great Lakes Aquatic Habitat Framework (GLAHF) - UMD Global Land Cover Classification from Global Land Cover Facility, 1 km 10
18 Framework Static data: Candidate or other dataset Meteo. data: Regional Determ. Reforecast System Models: HYPE LBRM MESH VIC GEM-Hydro WRF-Hydro 11
19 Framework Static data: Candidate or other dataset Meteo. data: Regional Determ. Reforecast System Models: HYPE LBRM MESH VIC GEM-Hydro WRF-Hydro Model-dependent pre-processing scripts 11
20 Framework Static data: Candidate or other dataset Meteo. data: Regional Determ. Reforecast System Models: HYPE LBRM MESH VIC GEM-Hydro WRF-Hydro Model-dependent pre-processing scripts Model setup & Model run 11
21 Framework Static data: Candidate or other dataset Meteo. data: Regional Determ. Reforecast System Models: HYPE LBRM MESH VIC GEM-Hydro WRF-Hydro Model-dependent pre-processing scripts Model setup & Model run Model output 11
22 Framework Static data: Candidate or other dataset Meteo. data: Regional Determ. Reforecast System Comparable model outputs Models: HYPE LBRM MESH VIC GEM-Hydro WRF-Hydro Model-dependent pre-processing scripts Model setup & Model run Model-dependent post-processing scripts Model output 11
23 Framework Static data: Candidate or other dataset Meteo. data: Regional Determ. Reforecast System Comparable model outputs Models: HYPE LBRM MESH VIC GEM-Hydro WRF-Hydro Model-dependent Model-dependent pre-processing scripts post-processing scripts Model setup & Model run Model output Inputs: Open-source or made available through download 11
24 Framework Static data: Candidate or other dataset Meteo. data: Regional Determ. Reforecast System Comparable model outputs Models: HYPE LBRM MESH VIC GEM-Hydro WRF-Hydro Model-dependent pre-processing scripts Model setup & Model run Model-dependent post-processing scripts Model output Inputs: Open-source or made available through download Scripts: Made available on GitHub 11
25 Framework Static data: Candidate or other dataset Meteo. data: Regional Determ. Reforecast System Comparable model outputs Models: HYPE LBRM MESH VIC GEM-Hydro WRF-Hydro Model-dependent pre-processing scripts Model setup & Model run Model-dependent post-processing scripts Model output Inputs: Open-source or made available through download Scripts: Made available on GitHub Outputs: Made available through download 11
26 Comparable Model Outputs Modeled discharge at selected gauging stations Requires routing Lumped models need to have sub-basins setup such that they match those stations Net basin supply for Lake Erie and Lake St. Clair Probability distributions of monthly net basin supply known from Joeseph Smith & Drew Gronewold (2017) NBS Lake St. Clair [m 3 s 1 ] Median Percentiles [p 5,p 95]
27 Routing Offline routing in some models, e.g., VIC and GEM-Hydro Opens up possibility of unified routing scheme across models RAVEN routing is independent of model Routing for VIC and GEM-Hydro already performed with RAVEN Supported by GWF HQP: Ming Han (PhD student, U of Waterloo) Shervan Gharari (Core Modeling Team, U of Saskatchewan) Julie Mai (Core Modeling Team, U of Waterloo) Poster #59 Ming Han Tue pm 13
28 Support Provision of raw data for model building Interpolation of climate data to user-discretized model domain Automatic calibration support and limited deployment via OSTRICH Support for normalized approach of routing Deployment of model validation runs Supported by GWF HQP: Hongren Shen (PhD student, U of Waterloo) Julie Mai (Core Modeling Team, U of Waterloo) Poster Hongren CGU 14
29 Project Management Tool private repository documentation in a Wiki discussions ticket system scripts and their version control sharing smaller datasets 15
30 Project Management Tool private repository documentation in a Wiki discussions ticket system scripts and their version control sharing smaller datasets Interested in participating with your model? contact: 15
31 16
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