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PRECIPITATION-RUNOFF MODELING SYSTEM (PRMS) SNOW MODELING OVERVIEW
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PRMS
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PRMS Parameters original version
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PRMS Parameters MMS Version
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SNOW PROPERTIES Porous media Undergoes metamorphosis Surface albedo changes with time Density increases with time Has a free-water holding capacity
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Energy Balance Formulation Hm = Hsn + Hln + Hc + He + Hg + Hp + Hq Temperature-Index Formulation M = Cm * ( Ta - Tb) Modifications Seasonal adjustment to Cm Vary Cm for forest and open Use equation only for non rain days Account for Hg and Hq
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Snowpack Energy Balance Components
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Energy Balance Formulation Hm = Hsn + Hln + Hc + He + Hg + Hp + Hq Model Formulation (on each HRU) PRMS SNOW MODEL Hsn = swrad * (1. - albedo) * rad_trncf Hln = emis * sb_const * tavg 4 ( T 4) Hc + He = cecn_coef(mo) * tavg (ppt days) = 0 (dry days) Hp = tavg * net_precip Hg assumed 0 Hq is computed
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Snow Surface Albedo vs Time
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Solar Radiation Transmission Coefficient vs Cover Density
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Net Longwave Radiation Hlw = (1. - covden_win) * [(emis * air) -snow)] emis = emis_noppt no precip = 1.0 precip air and snow = sb_const * tavg 4 [ ( T 4 ) where tavg is temp of air and temp of snow surface + covden_win * (air -snow)
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Energy Balance Formulation Hm = Hsn + Hln + Hc + He + Hg + Hp + Hq Model Formulation PRMS SNOW MODEL Hsn = SWRin * (1. - ALBEDO) * TRNCF Hln = T 4 Hc + He = Cce * Tavg (ppt days) = 0 (dry days) Hp = Tavg * PTN Hg assumed 0 Hq is computed
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SNOWPACK DYNAMICS 2-layered system energy balance: 2 12-hour periods energy exchange between layers -- conduction and mass transfer Tsurface = min(tavg or 0 o C) Tpack is computed density = f(time, settlement constant) albedo decay = f(time, melt) melt volume: use depth-area depletion curve
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Areal Snow Depletion Curve
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MELT SEQUENCE cal_net > 0 snowmelt = cal_net / 203.2 pk_temp < 0 o C refreeze to satisfy pk_def pk_temp = 0 o C satisfy free water holding capacity(freeh2o_cap) remaining snowmelt reaches the soil surface
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Max Temperature-Elevation Relations
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TEMPERATURE tmax(hru) = obs_tmax(hru_tsta) - tcrx(mo) tmin(hru) = obs_tmin(hru_tsta) - tcrx(mo) tcrx(mo) = [ tmax_lapse(mo) * elfac(hru)] - For each HRU where elfac(hru) = [hru_elev - tsta_elev(hru_tsta)] / 1000. -------------tmax_adj(hru)
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Precipitation-Elevation Relations
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Mean Daily Precipitation Schofield Pass (10,700 ft) vs Crested Butte (9031 ft) MONTH Mean daily precip, in.
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Precipitation Gage Catch Error vs Wind Speed (Larsen and Peck, 1972) Rain (shield makes little difference) Snow (shielded) Snow (unshielded)
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Precipitation Gauge Intercomparison Rabbit Ears Pass, Colorado
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PRECIPITATION - DEPTH hru_precip(hru) = precip(hru_psta) * pcor(mo) pcor(mo) = Rain_correction or Snow_correction For each HRU
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Precipitation Distribution Methods (module) Manual (precip_prms.f) Auto Elevation Lapse Rate (precip_laps_prms.f) XYZ (xyz_dist.f) PCOR Computation
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Auto Elevation Lapse Rate PCOR Computation For each HRU hru_psta = precip station used to compute hru_precip [ hru_precip = precip(hru_psta) * pcor ] hru_plaps = precip station used with hru_psta to compute ------ -------precip lapse rate by month [pmo_rate(mo)] hru_psta hru_plaps
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PCOR Computation pmn_mo padj_sn or padj_rn elv_plaps Auto Elevation Lapse Rate Parameters
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adj_p = pmo_rate * Auto Elevation Lapse Rate PCOR Computation For each HRU snow_adj(mo) = 1. + (padj_sn(mo) * adj_p) if padj_sn(mo) < 0. then snow_adj(mo) = - padj_sn(mo) pmo_rate(mo) = pmn_mo(hru_plaps) - pmn_mo(hru_psta) elv_plaps(hru_plaps) - elv_plaps(hru_psta) hru_elev - elv_plaps(hru_psta) pmn_mo(hru_psta)
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PRECIPITATION - FORM (rain, snow, mixture of both) For each HRU RAIN tmin(hru) > tmax_allsnow tmax(hru) > tmax_allrain(mo) SNOW tmax(hru) <= tmax_allsnow
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PRECIPITATION - FORM (rain, snow, mixture of both) prmx = [(tmax(hru) - tmax_allsnow) / ---------------- ---------(tmax(hru) - tmin(hru)] * adjmix_rain(mo) For each HRU Precipitation Form Variable Snowpack Adjustment MIXTURE OTHER
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PARAMETER ESTIMATION
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PRMS Parameters Estimated 9 topographic (slope, aspect, area, x,y,z, …) 3 soils (texture, water holding capacity) 8 vegetation (type, density, seasonal interception, radiation transmission) 2 evapotranspiration 5 indices to spatial relations among HRUs, gw and subsurface reservoirs, channel reaches, and point measurement stations
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BASIN DELINEATION AND CHARACTERIZATION Polygon Hydrologic Response Units (HRUs) (based on slope, aspect, elevation, vegetation) Grid Cell Hydrologic Response Units (HRUs) (Equal to Image Grid Mesh) Focus of operational modeling Focus of research modeling
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Upper San Joaquin River, CA El Nino Year
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ANIMAS RIVER, CO SURFACE GW SUBSURFACE PREDICTED MEASURED
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EAST FORK CARSON RIVER, CA SURFACE GW SUBSURFACE
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CLE ELUM RIVER, WA SURFACE GW SUBSURFACE
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REMOTELY SENSED SNOW- COVERED AREA AND SNOWPACK WATER EQUIVALENT
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Satellite Image for Snow-Covered Area Computation
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NASA Regional Earth Science Applications Center Objective - Integrate remotely sensed data into operational resource management applications ~ 1 km pixel resolution of NOAA snow-covered area product on 750 km2 basin SW Center - U of AZ, U of CO, USGS, --------------Lawrence Berkeley Labs
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East Fork Carson River, CA 1986 1988
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Observed and Simulated Basin Snow-Covered Area
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SIMULATED vs SATELLITE-OBSERVED SNOW-COVERED AREA
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GUNNISON RIVER BASIN LOCATION Upper Colorado River Basin Gunnison River Basin
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SUBBASINS WITH CONCURRENT STREAMFLOW AND SATELLITE DATA East River Taylor River Lake Fork Cochetopa Creek Tomichi Creek
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Cochetopa Creek East River Lake Fork
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Taylor River Tomichi Creek
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east Percent Basin in Snow Cover
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east
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Percent Basin in Snow Cover
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coch Percent Basin in Snow Cover
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lake Percent Basin in Snow Cover
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STARKWEATHER COULEE, ND
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DEPRESSION STORAGE ESTIMATION (BY HRU) USING THE GIS WEASEL (AREA & VOLUME)
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WETLANDS HYDROLOGY DEPRESSION STORES (flowing and closed) HRU 1 HRU 2 STORAGE HRU FLOW GW PET FLOW
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Snow-covered Area 1997 April 17 March 20 April 22 May 6 SNOW NO SNOW
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1997 April 12April 22 Snowpack Water Equivalent Snow-covered Area
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Snow-covered Area 1999 March 25 April 1 April 8 April 13 SNOW NO SNOW
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1999 April 7April 8 Snowpack Water Equivalent Snow-covered Area
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