HAL and little more. DRAFT – Page 2 – May 19, 2015 Hydrometeorology and Arctic Lab Hydrometeorology –Instrumented Study area –MESH model –Some board participation.
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HAL and little more
DRAFT – Page 2 – April 18, 2023
Hydrometeorology and Arctic Lab
• Hydrometeorology– Instrumented Study area– MESH model– Some board participation– Convective Initiation (UNSTABLE)– Convective guidance
• Arctic (and Climate)– Mainly using climate data for studies– Lightning correlations– Fog/ Stratus– Numerical model evaluation– DRI
DRAFT – Page 3 – April 18, 2023
H is for Hydrology
• R&D of tools supporting hydrological prediction
• water availability in arid regions – modeling and remote sensing tools – assess soil moisture in context of hydrological cycle.
• Satellite validation partnerships in campaigns during 2007, 2008, 2009 A significant collaborative effort with NASA, CSA, AAFC,
USDA, U of Guelph, U of Sherbrooke occurred in 2010 Additional partnerships with University of Sask’s Global
Institute for Water Security and Ag Canada’s NAIS program in 2011
Achieved status as a NASA SMAP (Soil Moisture Active Passive) validation site in 2012
DRAFT – Page 4 – April 18, 2023
Integration of field studies forremote sensing and modeling validation
HAL study site – Kenaston/Brightwater Creek
• 24 sites (EC)• 10 x 10 km grid
24 EC precip, soil moisture stationsHourly precip and soil moisture at 3 depths
Nested scale design-24 EC sites-16 U of G sitesIn the headwaters of Brightwater Creek (05HG002)
Suitable for modelingand remote sensingvalidation at multiplescales
DRAFT – Page 5 – April 18, 2023
Collaboration – CanEx-SM10
SMOS validationSMAP pre-launch algorithm development
PartnersEC, NASA, AAFC, CSA, U of Guelph, U of Sherbrooke
Kenaston40 times series sites+ 20 additional ground truth sites BERMS20 time series sites + temporary time series sites + additional ground truth sites
BERMS
DRAFT – Page 6 – April 18, 2023
KENaston campaign
DRAFT – Page 7 – April 18, 2023
H is for Hydrological prediction
• Exploring flow guidance system
• Based on NWP
• Polling provinces for interest and scope
DRAFT – Page 8 – April 18, 2023
Background: The NWP System
“On-line”mode
“Off-line”mode
“On-line”mode
“Off-line”mode
Surfaceobservations
Upper airobservations
CaLDAS:Canadianland data
assimilation
CaPA:Canadian
precipitationanalysis
GEM atmosphericmodel
4DVardata assimilation
CLASS/ISBAWATFLOOD
CRHMCold Regions Hydrological Model
DRAFT – Page 9 – April 18, 2023
Original Proposal
DRAFT – Page 10 – April 18, 2023
Refined Proposal
The task force to explore opportunities for better collaboration between EC and P/T Flood Forecasting agencies in the following ways:
1) Develop a requirements document for EC to use as a basis for improving products and services to P/Ts
2) Produce a discussion document regarding how P/Ts can help EC improve its Numerical Weather Prediction (NWP) model.
3) Help write a 2013 Search and Rescue – New Initiatives Fund (SAR-NIF) proposal for additional funding.
4) Encourage the prototyping and implementation of products and services to improve collaboration between P/T flood forecasters and EC.
DRAFT – Page 11 – April 18, 2023
D is between H and A:Drought Research Initiative – Prairie Extremes• A joint University-EC collaboration (UManitoba, USask, HAL, S+T)
• Funded by CFCAS
• To better understand the processes associated with the precipitation extremes (both wet and dry) and impacts across the Canadian Prairies that occurred in 2009-2011.
Variety of Datasets Used
• Gridded temperature and precipitation data sets (CANGRD, CAPA).
• NCEP-NCAR reanalysis products.
• Several surface-based data sources maintained by Environment Canada used to
examine temperature and precipitation variations, lightning activity and river
discharges.
• Canadian National Fire Database used to characterize lightning-caused fire and
associated area burned statistics
DRAFT – Page 12 – April 18, 2023
Moisture extremes and impacts occurring simultaneously over different parts of the region
2010 Gridded Total Precipitation from CAPA
Large Fires (> 200 ha) on the Prairies 2009 - 2011
DRAFT – Page 13 – April 18, 2023
2010 Gridded Lightning Activity
DRAFT – Page 14 – April 18, 2023
Surface rainfall and cloud-to-ground lightning relationships in CanadaExploratory Study:
Can a predictive capability to estimate convective rainfall using lightning information be developed?
Objectives: – Develop relationship between
lightning activity and surface rainfall in Canada [rainfall yield] for period April-October 1999-2003.
– Assess how well the derived rain yields can predict convective precipitation in Canada for the April-October seasons of 2004 and 2010.
DRAFT – Page 15 – April 18, 2023
Surface rainfall and cloud-to-ground lightning relationships in Canada
Spatial pattern of rainfall yields across Canada’s ecozones for the period Apr-Oct 1999-2003 (units : x108 kg fl-1 [kg per flash])
DRAFT – Page 16 – April 18, 2023
Surface rainfall and cloud-to-ground lightning relationships in Canada• A broad swath of the middle and
northern portions of Canada lie outside of radar coverage.
• Examined the effect of replacing station-derived rain yields with ecozone-derived rain yields.
• Prediction uncertainty error = ratio of ecozone MAE to observed precipitation (percentage)
• A predictive capability to estimate seasonal convective rainfall using lightning information may be feasible in data sparse regions without radar coverage, but the predictions exhibit greater uncertainty in some ecozones than in others.
DRAFT – Page 17 – April 18, 2023
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