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Federer, C.A., C. Vörösmarty, and B. Fekete. 2003. Sensitivity of annual evaporation to soil and root properties in two models of contrasting complexity. J Hydrometeorology, 4:1276–1290. Francou, B., Ribstein, P., Saravia, R. and Tiriau, E., 1995. Monthly balance and water discharge of an inter-tropical glacier: Zongo Glacier, Cordillera Real, Bolivia, 16S. Journal of Glaciology, 41(137): 61–67. Georges, C. and Kaser, G., 2002. Ventilated and unventilated air temperature measurements for glacier-climate studies on a tropical high mountain site. Journal of Geophysical Research- Atmospheres, 107(D24): art. no.-4775. Gray, W. M., and R. W. Jacobson, 1977: The diurnal march of convective cloudiness over the Americas. Mon. Wea. Rev., 105, 1171–1188.Francou, B., Ribstein, P. and Pouyard, B., 1997. The melting of tropical glaciers. Recherche(302): 34–37. Hardy, D. R., M. Vuille, C. Braun, F. Keimig, and R. S. Bradley, Annual and daily meteorological cycles at high altitude on a tropical mountain, Bull. Am. Meteorol. Soc., 79(9), 1899–1913, 1998. Hastenrath, S. and Kruss, P.D., 1992. The dramatic retreat of Mount Kenya's glaciers between 1963 and 1987: greenhouse forcing. Annals of Glaciology, 16: 127–133.Hendon, H. H., and K. Woodberry, 1993: The diurnal cycle of tropical convection. J. Geophys. Res., 98, 16,623– 16,637. Hinckley, T.M., J.P. Lassoie, and S.W. Running. 1978. Temporal and spatial variations in the water status of forest trees. Forest Science Monograph, 20, 72 p. Jackson, R.B. J. Canadell, J.R. Ehleringer, H.A. Mooney, O.E. Sala, and E.-D. Schulze. 1996. A global analysis of root distributions for terrestrial biomes. Oecologia, 108:389–411. Juen, I., Kaser, G. and Georges, C., 2005. Modelling observed and future runoff from a glacierized tropical catchment (Cordillera Blanca, Peru). Global & Planetary Change, submitted. Kaser, G., Juen, I., Georges, C., Gomez, J. and Tamayo, W., 2003. The impact of glaciers on the runoff and the reconstruction of mass balance history from hydrological data in the tropical Cordillera Blanca, Peru. Journal of Hydrology, 282(1–4): 130–144. Mapes, Brian E., Warner, Thomas T., Xu, Mei, Negri, Andrew J., 2003. Diurnal Patterns of Rainfall in Northwestern South America. Part I: Observations and Context. Monthly Weather Review, 131: 799–812. Mark, B.G., McKenzie, J.M. and Gomez, J., 2005. Hydrochemical evaluation of changing glacier meltwater contribution to stream discharge: Callejon de Huaylas, Peru. Hydrological Sciences Journal = Journal des Sciences Hydrologiques, 50(6). Mark, B.G. and Seltzer, G.O., 2003. Tropical glacier meltwater contribution to stream discharge: a case study in the Cordillera Blanca, Peru. Journal of Glaciology, 49(165): 271–281. Mark, B.G. and Seltzer, G.O., 2005. Recent glacial recession in the Cordillera Blanca, Peru (AD 1962–1999). Quaternary Science Reviews, 24: 2265–2280. McNulty, B.A., Farber, D.L., Wallace, G.S., Lopez, R. and Palacios, O., 1998. Role of plate kinematics and plate-slip-vector partitioning in continental magmatic arcs: Evidence from the Cordillera Blanca, Peru. Geology, 26(9): 827–830. Nesbitt, S. W., and E. J. Zipser, 2003: The diurnal cycle of rainfall and convective intensity according to three years of TRMM measurements. J. Climate, 16, 1456–1475. Penman, H.L., 1948. Natural evaporation from open water, bare soil and grass. Proc. Roy. Soc. London. A193, 120–146. Penman, H.L., 1963. Vegetation and hydrology. Tech. Comm. No. 53. Commonwealth Bureau of Soils, Harpenden, England. 125 pp. Poveda, Germán, Mesa, Oscar J., Salazar, Luis F., Arias, Paola A., Moreno, Hernán A., Vieira, Sara C., Agudelo, Paula A., Toro, Vladimir G., Alvarez, J. Felipe, 2005. The Diurnal Cycle of Precipitation in the Tropical Andes of Colombia. Monthly Weather Review, 133: 228–240. Ribstein, P., Tiriau, E., Francou, B. and Saravia, R., 1995. Tropical Climate and Glacier Hydrology: A Case-Study in Bolivia. Journal of Hydrology, 165(1–4): 221–234. Shuttleworth, W.J., and R.J. Gurney. 1990. The theoretical relationship between foliage temperature and canopy resistance in sparse crops. Quart J Royal Meteorol Soc., 116: 497– 519. 278
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Proceedings of the 63rd ANNUAL EAST
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FOREWORD T his proceedings volume c
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CONTENTS Foreword..................
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STATEMENT OF PURPOSE The Eastern Sn
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EXECUTIVES FOR THE 63rd EASTERN SNO
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THE PRESIDENT’S PAGE The 63rd ann
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Weisnet Medal for Best Student Pape
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3 63 rd EASTERN SNOW CONFERENCE New
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Figure 1. Layer 1 represents the so
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Figure 4. The general layout of the
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lue color represented no convection
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Total Density of Water Profiles The
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Figure 11(a). Simulated snow grain
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Jordan R, 1991. A one-dimensional t
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Campbell Scientific Award for Best
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19 63 rd EASTERN SNOW CONFERENCE Ne
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R ∑i ∑ n 2 = 1 NS = − n i = 1
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Snow and Climate 37
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Spatial distributions of changes in
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Snow and Climate Posters 43
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Figure 2 presents correlation maps
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CONCLUSIONS Three regional-continen
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Discharge (mm) 20 18 16 14 12 10 8
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ABSTRACT 55 63 rd EASTERN SNOW CONF
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This paper analyzes the synoptic pa
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Cyclones that track west of the App
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The synoptic-scale atmospheric circ
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CONCLUSIONS The record snowfall in
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correlations between April-May snow
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Figure 3. Linear correlations betwe
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winter/early spring could contribut
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Snow Remote Sensing 73
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height averaged 11.4 m with an aver
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strings were buried 20 - 30 cm belo
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Although the λE/Rn fraction was on
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estimated snow depth based on the 2
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important to note that the average
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Schmidt, R. A., C. A. Troendle, and
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METHODS The IMS Product The IMS was
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Figure 1. Microwave spectral charac
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snow depth and SWE on a weekly basi
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Figure 4. Example of blended SWE pr
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Evaluation of the global distributi
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Figure 9. Inter-comparison plots of
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Helfrich, S.R., D. McNamara, B.H.Ra
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105 63 rd EASTERN SNOW CONFERENCE N
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and validated regionally so they ca
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109 Test Site Figure 2. Variation o
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Correlation Coe. Correlation Coe. C
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Figure 8. SSM/I scattering signatur
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Considering the facts mentioned abo
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Besides the temporal validation, th
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RMSE Non linear Azar Chang Goodison
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63 nd EASTERN SNOW CONFERENCE Newar
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http://www.ccin.ca); from simulatio
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over the period 1988-2000. With the
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Figure 3: Explained variance (R 2 )
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correspondence between simulated an
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values. Continued development of ne
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National Climatic Data Center (2005
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Snow Remote Sensing Posters 135
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ABSTRACT 63 rd EASTERN SNOW CONFERE
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day and has a mean pixel resolution
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Table 1. Wheaton River basin EASE-G
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The SSM/I snowmelt onset algorithm
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coarse-resolution pixel with the hi
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Figure 5. (a) Scatterplot of snowpa
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For both 2004 and 2005, the AMSR-E
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threshold of ±18 K that reflects t
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ABSTRACT 153 63 rd EASTERN SNOW CON
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DATA USED SSM/I & QuikSCAT Coverage
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180 160 140 120 100 80 60 40 20 0 1
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independent of regions. This greatl
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slightly vary the IMS with this pro
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imagery, the higher latitudes rely
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MODIS Land Science Team, NASA Godda
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FUTURE OF IMS Enhancements to the I
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information never present before on
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Brubaker, K.L., R. Pinker and E. De
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The Sierra Nevada del Cocuy region
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Colombia Venezuela Glacier Series R
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Table 4. Glacier Areas of the Ruiz-
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Pico Bonpland Massif-Sinigüis Glac
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Linder W, Jordan E, 1991. Ice-mass
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Snowpack Processes 193
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63 rd EASTERN SNOW CONFERENCE Newar
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In the following paragraph the main
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Figure 1: Variation of the season a
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Figure 3: 8-day composite maps (24
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The third pair (Figure 5) represent
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Figure 9: Time evolution of SWE ave
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melting occurs, whereas at the high
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Colbeck SC, Anderson EA. 1982. The
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ABSTRACT 211 63 rd EASTERN SNOW CON
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A B Figure 1. Low-magnification sec
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GB ridge GB groove Figure 3. Higher
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CONCLUSION Figure 5. Indexed electr
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219 63rd EASTERN SNOW CONFERENCE De
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Meteorological data for the winter
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monthly probability adjusted data 4
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225 Pullman WA Rawlins WY Leadville
Page 239 and 240: The daily wind speed can exceed 6.5
Page 241 and 242: NCDC. 2006. National Climate Data C
Page 243 and 244: ABSTRACT 231 63 rd EASTERN SNOW CON
Page 245 and 246: and mass balances for 540 environme
Page 247 and 248: Temperature, precipitation, windspe
Page 249 and 250: the left in response to snow compac
Page 251 and 252: Pinched-cone dimensions for each sl
Page 253 and 254: Terrain slope (degrees) Terrain slo
Page 255 and 256: ACKNOWLEDGEMENTS This work was fund
Page 257 and 258: Glacial and Periglacial Processes 2
Page 259 and 260: 247 63 rd EASTERN SNOW CONFERENCE N
Page 261 and 262: From linear regression the constant
Page 265 and 266: DATA COLLECTION Figure 1. Location
Page 267 and 268: Table 1. Comparison of GPS measured
Page 269 and 270: Transverse Velocity Profiles Surfac
Page 271 and 272: is shown in Figure 4. This variatio
Page 273 and 274: Table 4. The calculated volume flux
Page 277 and 278: Figure 1. Cordillera Blanca regiona
Page 279 and 280: MATERIALS AND METHODS Field Measure
Page 281 and 282: Data analysis techniques We synthes
Page 283 and 284: season, but unacceptable for the dr
Page 285 and 286: significant, although more informat
Page 287 and 288: (a) Liquid Water (mm) Dry Period: M
Page 289: Future Work We are installing addit
Page 293 and 294: Snow and Periglacial Processes Post
Page 297 and 298: ----- -------------- ------- ------
Page 299 and 300: No one to date has shown why snowfl
Page 301 and 302: APPENDIX A Northern Hemisphere Year
Page 303 and 304: 62nd ESC Papers 291
Page 305 and 306: 62 nd EASTERN SNOW CONFERENCE Water
Page 307 and 308: each other; and, they both decrease
Page 309 and 310: 297 62 nd EASTERN SNOW CONFERENCE W
Page 311 and 312: comes in the form of precipitation.
Page 313 and 314: averaged to reduce bias in this var
Page 315 and 316: RESULTS Figure 2. Flow chart of reg
Page 317 and 318: Table 6: Actual-Conditions SWE, dep
Page 319 and 320: 307 Table 9: Regression results bet
Page 321 and 322: Goita, K., A. Walker, B. Goodison,
Page 323: TO ERR IS HUMAN, TO FORGET IT WOULD
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