Скачать презентацию HAL and little more Hydrometeorology and Arctic Скачать презентацию HAL and little more Hydrometeorology and Arctic

140de89e4cd20fc4f3d1fbd2139533f1.ppt

  • Количество слайдов: 17

HAL and little more HAL and little more

Hydrometeorology and Arctic Lab • Hydrometeorology – – – Instrumented Study area MESH model 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 2 – 18 March 2018

H is for Hydrology • R&D of tools supporting hydrological prediction • water availability 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 ü partnerships in campaigns during 2007, 2008, 2009 ü A significant collaborative effort with NASA, CSA, AAFC, USDA, U of Guelph, U of Sherbrooke occurred in 2010 ü Additional partnerships with University of Sask’s Global Institute for Water Security and Ag Canada’s NAIS program in 2011 ü Achieved status as a NASA SMAP (Soil Moisture Active Passive) validation site in 2012 DRAFT – Page 3 – 18 March 2018

Integration of field studies for remote sensing and modeling validation HAL study site – Integration of field studies for remote sensing and modeling validation HAL study site – Kenaston/Brightwater Creek • 24 sites (EC) • 10 x 10 km grid 24 EC precip, soil moisture stations Hourly precip and soil moisture at 3 depths Nested scale design -24 EC sites -16 U of G sites In the headwaters of Brightwater Creek (05 HG 002) DRAFT – Page 4 – 18 March 2018 Suitable for modeling and remote sensing validation at multiple scales

Collaboration – Can. Ex-SM 10 SMOS validation SMAP pre-launch algorithm development BERMS Partners EC, Collaboration – Can. Ex-SM 10 SMOS validation SMAP pre-launch algorithm development BERMS Partners EC, NASA, AAFC, CSA, U of Guelph, U of Sherbrooke Kenaston 40 times series sites+ 20 additional ground truth sites BERMS 20 time series sites + temporary time series sites + additional ground truth sites DRAFT – Page 5 – 18 March 2018

KENaston campaign DRAFT – Page 6 – 18 March 2018 KENaston campaign DRAFT – Page 6 – 18 March 2018

H is for Hydrological prediction • Exploring flow guidance system • Based on NWP H is for Hydrological prediction • Exploring flow guidance system • Based on NWP • Polling provinces for interest and scope DRAFT – Page 7 – 18 March 2018

Background: The NWP System Upper air observations Surface observations 4 DVar data assimilation Ca. Background: The NWP System Upper air observations Surface observations 4 DVar data assimilation Ca. PA: Canadian precipitation analysis Ca. LDAS: Canadian land data assimilation GEM atmospheric model “On-line” mode “Off-line” mode CLASS/ISB WATFLOOD CRHM Cold Regions Hydrological Model DRAFT – Page 8 – 18 March 2018

Original Proposal DRAFT – Page 9 – 18 March 2018 Original Proposal DRAFT – Page 9 – 18 March 2018

Refined Proposal The task force to explore opportunities for better collaboration between EC and 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 10 – 18 March 2018

D is between H and A: Drought Research Initiative – Prairie Extremes • A 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 11 – 18 March 2018

Moisture extremes and impacts occurring simultaneously over different parts of the region 2010 Gridded 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 12 – 18 March 2018

2010 Gridded Lightning Activity DRAFT – Page 13 – 18 March 2018 2010 Gridded Lightning Activity DRAFT – Page 13 – 18 March 2018

Surface rainfall and cloud-to-ground lightning relationships in Canada Exploratory Study: Can a predictive capability Surface rainfall and cloud-to-ground lightning relationships in Canada Exploratory 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 14 – 18 March 2018

Surface rainfall and cloud-to-ground lightning relationships in Canada Spatial pattern of rainfall yields across 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 : x 108 kg fl-1 [kg per flash]) DRAFT – Page 15 – 18 March 2018

Surface rainfall and cloud-to-ground lightning relationships in Canada • A broad swath of the 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 16 – 18 March 2018

DRAFT – Page 17 – 18 March 2018 DRAFT – Page 17 – 18 March 2018