A Prototype Network for Measuring Arctic Winter Precipitation and Snow Cover (Snow-Net) Matthew Sturm, CRREL Doug Kane, UAF Svetlana Berezovskaya, UAF.

Slides:



Advertisements
Similar presentations
Land Surface Evaporation 1. Key research issues 2. What we learnt from OASIS 3. Land surface evaporation using remote sensing 4. Data requirements Helen.
Advertisements

Kansas City, MO January 28 th, 2014 Doug Kluck NOAA Regional Climate Services Director
SNOW SURVEY, SNOTEL (SNOwpack TELemetry) & SCAN (Soil Climate Analysis Network) Presented at NWS Cold Regions Workshop November , 2004.
SCOPE OF DATA STREAM FLOW AND SOLUTE FLUXES Stream discharge gauging Stream water chemistry PRECIPITATION AND DEPOSITION NRCS Snow Survey and Snow Pillow.
Snowpack Monitoring: Past, Present, and Future James H. Porter, Ph.D. NYCDEP 19 September 2013 Watershed Science and Technical Conference Hotel Thayer,
Some Measurement Issues for Urban Test Beds R. P. Hosker, Jr. NOAA / OAR / ARL Atmospheric Turbulence & Diffusion Division Oak Ridge, TN USA.
MODIS satellite image of Sierra Nevada snowcover Big data and mountain water supplies Roger Bales SNRI, UC Merced & CITRIS.
IceBridge Science Objectives The following are the major science objectives of Operation IceBridge in priority.
Monitoring the hydrologic cycle in the Sierra Nevada mountains.
IceBridge Program Overview Tom Wagner IceBridge Program Scientist.
Measuring Precipitation. How? Raingauges Radar Snow pillows Hail pads Precipitation patterns.
Lecture ERS 482/682 (Fall 2002) Snow hydrology ERS 482/682 Small Watershed Hydrology.
Arctic Land Surface Hydrology: Moving Towards a Synthesis Princeton University December 4-6, 2006.
Outline Background, climatology & variability Role of snow in the global climate system Indicators of climate change Future projections & implications.
12/03/041 Remote sensing in Weather applications We produce algorithms and prototypes of products for FMI forecasters and customers. Our tools include.
Task 3 Institutional Incentives for Efficient Water Use.
Surface Temperature Described scientifically, surface temperature is the radiating temperature of the ground surface including grass, bare soil, roads,
NRCS Global Positioning Systems (GPS) & Geographic Information Systems (GIS) RESOURCE INVENTORY  Soil Survey  National Resources Inventory (NRI)  Wetlands.
1 Automated Snow Sensor Experiment Overview In 2003, Nolan Doesken (Colorado State Climatologist) was granted funding from Headquarters, to perform testing.
© 2012 National Ecological Observatory Network, Inc. ALL RIGHTS RESERVED. THE DATA ASSIMILATION RESEARCH TESTBED (DART) FOR ECOLOGICAL FORECASTING Andy.
HydrometJanuary AMS Short Course on Instrumentation1 HydrometeorologicalMeasurements Melanie A. Wetzel Desert Research Institute University of.
Southern Sierra CZO Funding. The instrument cluster and the CZO are supported by NSFs Earth Sciences Division. KREW is a program of the U.S. Forest Service.
Distinct properties of snow
Snow Cover: Current Capabilities, Gaps and Issues (Canadian Perspective) Anne Walker Climate Research Branch, Meteorological Service of Canada IGOS-Cryosphere.
These notes are provided to help you pay attention IN class. If I notice poor attendance, fewer notes will begin to appear on these pages Snow Measuring.
Summary of Research on Climate Change Feedbacks in the Arctic Erica Betts April 01, 2008.
Southern Sierra Critical Zone Observatory Activities from 2009 annual report Investigators: UCM: R. Bales (PI), M. Conklin, S. Hart, A. Behre UCB: J. Kirchner,
Water Cycle Breakout Session Attendees: June Wang, Julie Haggerty, Tammy Weckwerth, Steve Nesbitt, Carlos Welsh, Vivek, Kathy Sharpe, Brad Small Two objectives:
Naeem Tull-Walker Grambling State University Mentors: Dr. Demoz, Dr. Sakai Howard University Unmanned Arial System (UAS) Development for Atmospheric Research.
An Inexpensive Deployable Acoustic Snow Observing Sensor (IDASOS) Sean Helfrich NESDIS Snow and Ice Product Area Lead National.
Ground Deicing Update Scott Landolt, Roy Rasmussen and Jenny Black.
© TAFE MECAT 2008 Chapter 6(b) Where & how we take measurements.
An Overview of North Slope Hydrology and Potential Response to Climate Change Presented by: Amy Tidwell, PhD Water and Environmental Research Center University.
Canopy Dynamics and Tree Well Size Does the canopy height and size of coniferous trees affect the size of the tree well at the snow surface? J. Kalin Puent.
Spatial Model-Data Comparison Project Conclusions Forward models are very different and do not agree on timing or spatial distribution of C sources/sinks.
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:
A Prototype Network for Measuring Arctic Winter Precipitation and Snow Cover (Snow-Net) Matthew Sturm, CRREL Doug Kane, UAF Svetlana Berezovskaya, UAF.
The White Arctic: A Snow Impacts Synthesis for the Terrestrial Arctic Matthew Sturm 1 Glen E. Liston 2 Donald K. Perovich 1 Christopher A. Hiemstra 2 1.
NASA Snow and Ice Products NASA Remote Sensing Training Geo Latin America and Caribbean Water Cycle capacity Building Workshop Colombia, November 28-December.
Project goals Evaluate the accuracy and precision of the CO2 DIAL system, in particular its ability to measure: –Typical atmospheric boundary layer - free.
INNOVATIVE SOLUTIONS for a safer, better world Capability of passive microwave and SNODAS SWE estimates for hydrologic predictions in selected U.S. watersheds.
An Improved Global Snow Classification Dataset for Hydrologic Applications (Photo by Kenneth G. Libbrecht and Patricia Rasmussen) Glen E. Liston, CSU Matthew.
1 National HIC/RH/HQ Meeting ● January 27, 2006 version: FOCUSFOCUS FOCUSFOCUS FOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS.
Distribution of Liquid Water in Orographic Mixed-Phase Clouds Diana Thatcher Mentor: Linnea Avallone LASP REU 2011.
Snow Hydrology: A Primer Martyn P. Clark NIWA, Christchurch, NZ Andrew G. Slater CIRES, Boulder CO, USA.
Intellectual Merit: NSF supported researcher Roger Bales and colleagues have developed a prototype instrument cluster for the study of mountain hydrology,
Preliminary modeling work simulating N-ICE snow distributions and the associated impacts on: 1)sea ice growth; 2)the formation of melt ponds; and 3)the.
Activity 4.2 Sierra annual Water Budget “Tree Scale”
Snow measurements during N_ICE JC Gallet 1, G. Liston 2 and S. Gerland 1 1 Norwegian Polar Institute, Tromsø, Norway 2 Colorado State University 17 November.
AWI activities in spring/summer 2015 Polarstern and Polar 5 campaigns Thomas Krumpen, Christian Katlein, Marcel Nicolaus, Gerit Birnbaum, Sascha Willmes,
WMO CIMO Survey National Summaries of Methods and Instruments for Solid Precipitation Measurement - Preliminary results - R Nitu Meteorological Service.
ISTP 2003 September15-19, Airborne Measurement of Horizontal Wind and Moisture Transport Using Co-deployed Doppler and DIAL lidars Mike Hardesty,
TREE WELLS: COMPARISON OF CONIFEROUS AND DECIDUOUS TREES Magali Weissgerber, Winter Ecology, Spring 2015, CU Mountain research Station.
Observations of cold air pooling in a narrow mountain valley Allison Charland, Craig Clements, Daisuke Seto Department of Meteorology and Climate Science.
Integrated measurements & modeling of Sierra Nevada water budgets UCM PI: Roger Bales LLNL Co-PI: Reed Maxwell.
Snow, Snowpacks and Runoff
ICE AND OCEAN ACTIVITIES
The State of the Cryosphere
Terrestrial-atmosphere (1)
CPCRW Snowmelt 2000 Image Courtesy Bob Huebert / ARSC.
Polarstern Helicopters
Rajiv Prasad (Utah State University) David G
Vinod Mahat, David G. Tarboton
Chapter 7 Quiz.
Measuring mountain water cycle at the basin scale
Staying afloat in the sensor data deluge
Spatial Variation in Corn and Soybean Fields in Central Iowa
Challenges & opportunities: water resources information systems
Forests, water & research in the Sierra Nevada
Real-time Sierra Nevada water monitoring system
Presentation transcript:

A Prototype Network for Measuring Arctic Winter Precipitation and Snow Cover (Snow-Net) Matthew Sturm, CRREL Doug Kane, UAF Svetlana Berezovskaya, UAF Daqing Yang, UAF Chris Hiemstra, CSU Glen Liston, CSU (Photo by Kenneth G. Libbrecht and Patricia Rasmussen)

In light of the difficulties in measuring winter (snow) precipitation, we are developing a prototype international network where we will concurrently measure all components of the winter moisture budget, including snowfall, sublimation, horizontal transport, and snow on the ground.

At 5 arctic sites we will augment existing meteorological and snow measuring instrumentation with solid-state snow pillows, heated plate precipitation sensors, snow fences (to capture the wind-blown flux), and eddy correlation towers for sublimation computation.

Several times a winter at the sites we will conduct ground surveys of snow cover depth, water equivalent, and other properties using tools that allow rapid collection of extensive data.

These will be augmented with aerial photography and airborne remote sensing from inexpensive platforms (kites and UAVs) to visualize drift and deposition patterns. Snow-Topography Interactions Snow-Vegetation Interactions

Using a set of modeling tools (e.g., micro-meteorological, snowmelt, and blowing snow models), we will a)develop methods and algorithms for quality checking both meteorological and snow data by cross-comparison between sensors and instruments, and b)close the water balance in a way that produces more accurate values of winter precipitation and snow on the ground than are currently being collected. SnowModel / SnowTran-3D MicroMet

The combined suite of instruments, measurements, and modeling tools is designed to allow us to close the winter water balance at each site, for the first time balancing the precipitation with measured accumulation. Typical Snow-Net Site