Jornada Bibliography
Principles of Snow Hydrology. Principles of Snow Hydrology. :410.
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2008. Ground-based snowfall and snowpack measurements. Principles of Snow Hydrology. :76-117.
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2008. Introduction to Snow Hydrology. Principles of Snow Hydrology. :1-19.
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2008. Modeling Snowmelt Runoff. Principles in Snow Hydrology. :266-305.
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2008. Remote Sensing of the Snowpack. Principles of Snow Hydrology. :118-145.
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2008. Snow Climatology and Snow Distribution. Principles of Snow Hydrology. :20-47.
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2008. Snowfall, snowpack and meltwater chemistry. Principles of Snow Hydrology. :211-234.
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2008. Snowmelt Runoff. Principles of Snow Hydrology. :235-265.
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2008. Snowmelt Runoff Model (SRM). Principles of Snow Hydrology. :306-364.
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2008. Snowpack Condition. Principles of Snow Hydrology. :48-75.
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2008. Snowpack Energy Exchange: Basic Theory. Principle of Snow Hydrology. :146-181.
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2008. Snowpack energy exchange: Topographic and forest effects. Principles of Snow Hydrology. :182-210.
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2008. Snowpack Management and Modification. Principles of Snow Hydrology. :365-391.
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2008. Early forecasts of snowmelt runoff using SNOTEL data in the upper Rio Grande basin. EOS Transactions, American Geophysical Union. 83:F540.
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2003. Implementation of a remote sensing-snowmelt runoff forecasting system in the Rio Grande Basin. EOS Transactions, American Geophysical Union. 83:F540.
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2002. Development of a remote-sensing snowmelt runoff forecasting system in the Rio Grande Basin. Western Snow Conference.
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2003. Early forecasts of snowmelt runoff using SNOTEL data in the upper Rio Grande Basin. Western Snow Conference. :17-22.
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2003. Integrating two remote-sensing-based hydrological models and MODIS data to improve water supply forecasts in the Rio Grande Basin. International Conference, Hydrology: Science and Practice for the 21st century, British Hydrological Society. I:453-457.
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2004. Spatial and temporal variations in snowmelt degree-day factors computed from SNOTEL data in the upper Rio Grande basin. Proceedings of the Western Snow Conference. :73-80.
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2002. Integrating two remote sensing-based hydrological models and MODIS data to improve water supply forecasts in the Rio Grande Basin. Hydrology: Science & Practice for the 21st Century. 1:453-457.
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2004.