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Water from the mountains, The Fourth
   Paradigm, and the color of snow




(photo T. H. Painter)
Snow contributions to annual precipitation

                                140                                                                       6



                                120                                                                       5



                                100
                                                   SWE                                                    4                             Arizona/New Mexico:    39%




                                                                                                              Average Monthly SWE(in)
                                                                                 Flow
Average Monthly Flow (1000AF)




                                80                                                                        3
                                                                                                                                                      Utah:      60%

                                60                                                                        2
                                                                                                                                                  Colorado:      63%
                                40                                                                        1

                                                                                                                                              Sierra Nevada:         67%
                                20                                                                        0



                                                                                                          -1

                                      Oct   Nov   Dec   Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep

                                                                    Month




                                Most runoff & recharge come from snowmelt
                                                                                                                                                (Serreze, WRR, 1999)       2
Snow-pillow data for Leavitt Lake, 2929 m, Walker R
   drainage, near Tuolumne & Stanislaus basins




                                                 3
Measurement of snow water equivalent with
              snow pillow




        or



                                (Calif DWR)   4
[Bales et
al., WRR, 2006]

            5
April-July 2011 forecast, Tuolumne River
                           3.5

                                                                               historical max
                           3.0
                                              upper bound                                 actual
                           2.5                                                             *
April-July forecast, km3




                                                                lower bound
                           2.0

                                                                                historical avg
                           1.5


                           1.0


                                                                              historical min
                           0.5


                           0.0
                                   February      March      April                   May          6
7
Snow sensors don’t cover the highest elevations




                                      (K. Rittger)   8
Snow redistribution




(D. Marks)                         9
Differential ablation




    (E. H. Bair)        10
Sierra Nevada, trends in 220 long-term snow
 courses (> 50 years, continuing to present)




                                               11
SWE 2007, 3 methods




             12




                      (K. Rittger)
SWE 2011, 3 methods




             13




                      (K. Rittger)
Reconstruction of heterogeneous snow in a grid cell




       z
                            x
                       y




Daily potential melt       fSCA               Reconstructed SWE




                                  (A. Kahl
                                  Homan et al., Hyd Proc 2011)   14
Fractional snow-covered area, Sierra Nevada
       (MODIS images available daily)
Snow is one of nature’s most colorful materials
            (e.g., Landsat snow & cloud)




Bands 3 2 1 (red, green, blue)   Bands 5 4 2 (swir, nir, green)
                                                                  16
Spectra with 7 MODIS “land” bands (500m
    resolution, global daily coverage)




                                          17
Pure endmembers, 01 Apr 2005

                               100% Snow
                               100% Vegetation
                               100% Rock/Soil




 MODIS image



                                         18
Validation of fSCA w Landsat ETM+




                                    19
Example of satellite data management issue:
    blurring caused by off-nadir view




                                         20
21
Net shortwave radiation:
                                    Tuolumne-Merced River basins
                                                 March 1, 2006 12:00

       S1/8° ¯ NLDAS2                S100m ¯ Spatially Integrated   S100m ¯ Corrected for elevation   S100m ¯ Corrected for topography




    Cosgrove et al., 2003;
     Pinker et al., 2003;                                                Erbs et al., 1982;               Dozier and Frew, 1990
                                     Dubayah and Loechel., 1997
     Mitchell et al., 2004                                             Olyphant et al., 1984

S100m ¯, Corrected for vegetation         a, Snow Albedo                     S100m -                            Qns
                                                                                                                 100m




   Link and Marks, 1999;                Painter et al., 2009;               S -= a S ¯                       Qns = S ¯ +S -
   Garren and Marks, 2005               Dozier et al., 2008

                                                                                         M p j = mQ Rd + a rTD                22
1. Thousand years ago —
                                                             experimental science
                         Data                               Description of natural
                      Acquisition
                      & Modeling                            phenomena
                                                         2. Last few hundred years
                                                             —theoretical science
                                                            Newton’s Laws, Maxwell’s




                                       Collaboration &
Disseminate &




                                        Visualization
                                                            Equations . . .
    Share




                      Archiving &
                      Preservation
                                                         3. Last few decades —
                                                             computational science
                Jim Gray, 1944-2007                         Simulation of complex
                                                            phenomena
                       Analysis &
                      Data Mining
                                                         4. Today — data-intensive
                                                             science
                                                           Model/data integration
                   (J. Frew, T. Hey)
                                                           Data mining
     http://fourthparadigm.org                             Higher-order
                                                              products, sharing    23
Information about water is more useful as we
            climb the value ladder

                                                    Forecasting

                                               Reporting
                                                                Done poorly,
                                        Analysis           but a few notable
                                                           counter-examples
                                 Integration

                         Distribution
                                                Done poorly to moderately,
                   Aggregation                             not easy to find

             Quality assurance
                                                   Sometimes done well,
     Collation                      generally discoverable and available,
Monitoring                                        but could be improved


                                  (I. Zaslavsky & CSIRO, BOM, WMO)       24
Example from medical literature


   Cardiac Disease
   Literature

Co-author path Tague
Co-author path Kolstad
Co-author graph
Citation graph



                                              Immunology Literature


                                      Shared Function


                                             (Phil Bourne)            25
Alternative forms of scholarship


The Right Thing To Do                                      Reward




Accessible data




                                           (Phil Bourne)            26
Stuff to do



              27
SWE model comparison, 2006
                             July
                             June
                             May 1
                             April11




                                       28
Modeled vs observed SWE, April 1, 2006




(K. Rittger)                                            29
Net longwave radiation:
                                  Tuolumne-Merced River basins
                                                    March 1, 2006 12:00
L1/8° ¯ NLDAS2
 a

                                    e 100m ¯ Spatially Integrated
                                      a                                    L100m ¯ Corrected for elevation
                                                                            a
                                                                                                             L100m ¯ Corrected for topography
                                                                                                              a




e 1/8° ¯
  a




                                  Dubayah and Loechel, 1997                       La ¯ = e as Ta4 (z)           Dozier and Frew, 1990

   e 1/8° = L1/8° s Ta1/8°
     a       a


               L100m ¯, Corrected for vegetation
                ac
                                                                            L100m -                                Qnl
                                                                                                                    100m




                Link and Marks, 1999;                          L - = e ss Ts4 + (1- e s )L ¯                  Qnl = L ¯ +L -
                Garren and Marks, 2005
                                                                                                    M p j = mQ Rd + a rTD             30
fSCA corrected for vegetation (not validated)




                                                31
32
Hindu Kush




             33
34
Better graphics!




SWE, cm
   450

   250

   190

   130

    60

    1     04/10/05                35
Finis
           ―the author of all books‖
     – James Joyce, Finnegan’s Wake




36   http://www.slideshare.net/JeffDozier
37
Backup slides



                38
Orographic effect varies (Tuolumne-Merced River
                basins example)




                                              39
PRISM




        40
41
[D. Marks]




             42
Alternative forms of scholarship

Reviews                                              Curation

                      Research
                      [Grants]
            Journal                Poster
            Article                Session

                      Conference
                        Paper

                                                    Blogs
          Data
                                    (Phil Bourne)           43
SWE 2005, 3 methods




                      44

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Faculty to Faculty

  • 1. Water from the mountains, The Fourth Paradigm, and the color of snow (photo T. H. Painter)
  • 2. Snow contributions to annual precipitation 140 6 120 5 100 SWE 4 Arizona/New Mexico: 39% Average Monthly SWE(in) Flow Average Monthly Flow (1000AF) 80 3 Utah: 60% 60 2 Colorado: 63% 40 1 Sierra Nevada: 67% 20 0 -1 Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Month Most runoff & recharge come from snowmelt (Serreze, WRR, 1999) 2
  • 3. Snow-pillow data for Leavitt Lake, 2929 m, Walker R drainage, near Tuolumne & Stanislaus basins 3
  • 4. Measurement of snow water equivalent with snow pillow or (Calif DWR) 4
  • 6. April-July 2011 forecast, Tuolumne River 3.5 historical max 3.0 upper bound actual 2.5 * April-July forecast, km3 lower bound 2.0 historical avg 1.5 1.0 historical min 0.5 0.0 February March April May 6
  • 7. 7
  • 8. Snow sensors don’t cover the highest elevations (K. Rittger) 8
  • 10. Differential ablation (E. H. Bair) 10
  • 11. Sierra Nevada, trends in 220 long-term snow courses (> 50 years, continuing to present) 11
  • 12. SWE 2007, 3 methods 12 (K. Rittger)
  • 13. SWE 2011, 3 methods 13 (K. Rittger)
  • 14. Reconstruction of heterogeneous snow in a grid cell z x y Daily potential melt fSCA Reconstructed SWE (A. Kahl Homan et al., Hyd Proc 2011) 14
  • 15. Fractional snow-covered area, Sierra Nevada (MODIS images available daily)
  • 16. Snow is one of nature’s most colorful materials (e.g., Landsat snow & cloud) Bands 3 2 1 (red, green, blue) Bands 5 4 2 (swir, nir, green) 16
  • 17. Spectra with 7 MODIS “land” bands (500m resolution, global daily coverage) 17
  • 18. Pure endmembers, 01 Apr 2005 100% Snow 100% Vegetation 100% Rock/Soil MODIS image 18
  • 19. Validation of fSCA w Landsat ETM+ 19
  • 20. Example of satellite data management issue: blurring caused by off-nadir view 20
  • 21. 21
  • 22. Net shortwave radiation: Tuolumne-Merced River basins March 1, 2006 12:00 S1/8° ¯ NLDAS2 S100m ¯ Spatially Integrated S100m ¯ Corrected for elevation S100m ¯ Corrected for topography Cosgrove et al., 2003; Pinker et al., 2003; Erbs et al., 1982; Dozier and Frew, 1990 Dubayah and Loechel., 1997 Mitchell et al., 2004 Olyphant et al., 1984 S100m ¯, Corrected for vegetation a, Snow Albedo S100m - Qns 100m Link and Marks, 1999; Painter et al., 2009; S -= a S ¯ Qns = S ¯ +S - Garren and Marks, 2005 Dozier et al., 2008 M p j = mQ Rd + a rTD 22
  • 23. 1. Thousand years ago — experimental science Data Description of natural Acquisition & Modeling phenomena 2. Last few hundred years —theoretical science Newton’s Laws, Maxwell’s Collaboration & Disseminate & Visualization Equations . . . Share Archiving & Preservation 3. Last few decades — computational science Jim Gray, 1944-2007 Simulation of complex phenomena Analysis & Data Mining 4. Today — data-intensive science Model/data integration (J. Frew, T. Hey) Data mining http://fourthparadigm.org Higher-order products, sharing 23
  • 24. Information about water is more useful as we climb the value ladder Forecasting Reporting Done poorly, Analysis but a few notable counter-examples Integration Distribution Done poorly to moderately, Aggregation not easy to find Quality assurance Sometimes done well, Collation generally discoverable and available, Monitoring but could be improved (I. Zaslavsky & CSIRO, BOM, WMO) 24
  • 25. Example from medical literature Cardiac Disease Literature Co-author path Tague Co-author path Kolstad Co-author graph Citation graph Immunology Literature Shared Function (Phil Bourne) 25
  • 26. Alternative forms of scholarship The Right Thing To Do Reward Accessible data (Phil Bourne) 26
  • 28. SWE model comparison, 2006 July June May 1 April11 28
  • 29. Modeled vs observed SWE, April 1, 2006 (K. Rittger) 29
  • 30. Net longwave radiation: Tuolumne-Merced River basins March 1, 2006 12:00 L1/8° ¯ NLDAS2 a e 100m ¯ Spatially Integrated a L100m ¯ Corrected for elevation a L100m ¯ Corrected for topography a e 1/8° ¯ a Dubayah and Loechel, 1997 La ¯ = e as Ta4 (z) Dozier and Frew, 1990 e 1/8° = L1/8° s Ta1/8° a a L100m ¯, Corrected for vegetation ac L100m - Qnl 100m Link and Marks, 1999; L - = e ss Ts4 + (1- e s )L ¯ Qnl = L ¯ +L - Garren and Marks, 2005 M p j = mQ Rd + a rTD 30
  • 31. fSCA corrected for vegetation (not validated) 31
  • 32. 32
  • 34. 34
  • 35. Better graphics! SWE, cm 450 250 190 130 60 1 04/10/05 35
  • 36. Finis ―the author of all books‖ – James Joyce, Finnegan’s Wake 36 http://www.slideshare.net/JeffDozier
  • 37. 37
  • 39. Orographic effect varies (Tuolumne-Merced River basins example) 39
  • 40. PRISM 40
  • 41. 41
  • 43. Alternative forms of scholarship Reviews Curation Research [Grants] Journal Poster Article Session Conference Paper Blogs Data (Phil Bourne) 43
  • 44. SWE 2005, 3 methods 44

Hinweis der Redaktion

  1. Figure 1 of Dozier, Eos AGU Trans, 2011