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a. Snow Recognition (SNOBS1-b) b. Fractional Snow Cover (SNOBS2-b) c. Snow Water Equivalent (SNOBS3-b) 02.12.2015 Ankara-Turkey 1 Snow Products development on Mountainous area by Turkish H-SAF team (TSMS-METU)
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02.12.2015 Ankara-Turkey 2 a- Snow Recognition
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SN-OBS1b Sample for 27.12.2008 02.12.2015 3 Ankara-Turkey
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17 February 2008 SN-OBS1b Product 02.12.2015 4 Tatras Slovakia Poland White = snow Green = land Cyan = cloud Blue = water Gray = no data Ankara-Turkey
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24 February 2008 SN-OBS1b Product 02.12.2015 5 Tatras Slovakia Poland White = snow Green = land Cyan = cloud Blue = water Gray = no data Ankara-Turkey
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Validation of SN-OBS1b 02.12.2015 6 For the first 3 months period of 2008 over: Turkey Slovakia Ankara-Turkey
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Metrics 02.12.2015 7 Satellite Product Ground Observations SnowNo-Snow Snowab No-Snowcd abcd January38619872128 February31919435132 March2077246165 Total912464153425 POD = a / (a+b) FAR = b / (a+b) Slovakia Ankara-Turkey
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Turkey 02.12.2015 8 Comparisons made for 78 climatic stations where 1736 measurements have been used. 3 months POD = 99 % FAR = 9 % Ankara-Turkey
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Slovakia 02.12.2015 9 Comparisons made for 72 climatic stations where 1954 measurements have been used. 3 months POD = 69.7 % FAR = 31 % Ankara-Turkey
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Merged Products (FMI & TSMS) 02.12.2015 10 Animation Ankara-Turkey
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02.12.2015 Ankara-Turkey 11 b- Fractional Snow Cover
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Angles involved in the computation of illumination angle (i).
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Merged Products (FMI & TSMS) 02.12.2015 Ankara-Turkey 13 Animation
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02.12.2015 Ankara-Turkey 14 c- Snow Water Equivalent
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HUT EMISSION MODEL HUT Snow Emission Model Snow Depth (cm)[SD] Snow Density (g/cm 3 )[ ] Snow Temp.(K)[T s ] Soil Temperature (K)[T g ] Vol. Soil Moist. (%)[mv g ] Surface Roughness (m)[rm] Grain Size (mm)[d 0 ] Snow Moisture (%)[mv] Emprical Extinction Coeff. Function Frequency (GHz)[f] Vertical Polarization Brightness Temperature (K o ) [Tb V ] View Angle (degree)[ ] Horizontal Polarization Brightness Temperature (K) [Tb H ] Soil Parameters
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Tedesco et. al (2006) have investigated extinction coefficient versus frequency and grain size relationship for 6 types of snow which are defined by Sturm et. al. (1995) who classified snow into six classes based on physical properties of snow and climate characteristics. He tested it over Northern Hemisphere. EMPRICAL EXTINCTION COEFFICIENT FUNCTIONS-TEDESCO(2006) Karasu Basin
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SNOW GRAIN SIZE ESTIMATION FOR STATIONS AMSR-E Tb 18.7 V at 12/03/2006 23:19 DESCENDING Karasu Basin
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ESTIMATING GRAIN SIZE BACKGROUND FIELD Grain size versus SD/(Tb 18.7V -Tb 36.5V ) is plotted for stations for 2003 to 2007 period. Grain sizes obtained by METU Extinction Coeff. is used. Obtained eqation (10) and its R-square value is 87% with a=14.39 and b=-2.273 Eq (10)
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SWE RETRIEVAL DATA ASSIMILATION SCHEMA Cokriging interpolation for daily SD background field AMSR-E 18.7 GHz & 36.5 GHz Data Weather Station observation of SD and snow density Selection of daily AMSR-E observations Estimation of daily snow density background field using Eq.13 estimating daily snow grain size background field using Eq.10 Assimilation for the pixel under investigation SWE (W) Equation 10 Equation 13
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Future Works 02.12.2015 21 Fine tuning of Snow Recognition Product Topographic correction of Fractional Snow Cover products Producing the SWE product for the HSAF domain Encouraging the usage and validation of products by related institues of partner countries. Ankara-Turkey
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