Daily ”snapshot” of the Cryosphere (terrestrial SWE + Sea Ice)

Slides:



Advertisements
Similar presentations
Adeline Bichet, Lawrence Mudryk, Paul Kushner, Chris Derksen
Advertisements

Objective: ●harmonized data sets on snow cover extent (SE), snow water equivalent (SWE), soil freeze and vegetation status from satellite information,
The Snow Product Intercomparison Experiment (SnowPEx) Chris Derksen Climate Research Division Environment Canada.
1 CODATA 2006 October 23-25, 2006, Beijing Cryospheric Data Assimilation An Integrated Approach for Generating Consistent Cryosphere Data Set Xin Li World.
Modeling Applications of the ESA GlobSnow Data Record
Arctic snow in a changing cryosphere: What have we learned from observations and CMIP5 simulations? Chris Derksen and Ross Brown Climate Research Division.
Global Inter-agency IPY Polar Snapshot Year (GIIPSY) GIIPSY aims to facilitate: Use of current and soon to be launched earth observing satellites to develop.
Mapping future snow cover in Idaho Brandon C. Moore University of Idaho.
Methods of Measuring Snow Water Equivalence (SWE) Snow Course.
Detecting SWE peak time from passive microwave data Naoki Mizukami GEOG6130 Advanced Remote Sensing.
IPY Satellite Data Legacy Vision: Use the full international constellation of remote sensing satellites to acquire spaceborne ‘snapshots’ of processes.
Can we use microwave satellite data to monitor inundation at high spatial resolution? Competing issues Passive (high repeat) data have poor (50km) spatial.
A Multi-Sensor, Multi-Parameter Approach to Studying Sea Ice: A Case-Study with EOS Data Walt Meier 2 March 2005IGOS Cryosphere Theme Workshop.
Photo credit: D.K. Hall / NASA Visible and Near-Infrared Systems and Publicly-Available Products for Studies of Seasonal Snow Cover Dorothy K. Hall Cryospheric.
Page 1 Water vapour and clouds Important for: –accurate precipitation forecasts. –estimating surface energy budgets. –assessing climate feedback effects.
Global Snow Cover ECV Status and Progress in Observations 16th Session of the GCOS/WCRP Terrestrial Observation Panel for Climate (TOPC-16) March.
Cold Land Processes Jared K. Entin May 28 th, 2003.
John Mioduszewski Department of Geography NASA GISS.
Improving the AMSR-E snow depth product: recent developments Richard Kelly University of Waterloo, Canada.
Introduction Knowledge of the snow microstructure (correct a priori parameterization of grain size) is relevant for successful retrieval of snow parameters.
Snow Cover: Current Capabilities, Gaps and Issues (Canadian Perspective) Anne Walker Climate Research Branch, Meteorological Service of Canada IGOS-Cryosphere.
Snow Water Equivalent Variations in Western Canada – Climate Change Related Impacts for Hydropower Production Anne Walker Climate Research Branch, Meteorological.
Satellite Retrieval of Snow Cover Properties in Northern Canada  Current Capabilities and Plans for IPY  Anne Walker Climate Research Division, Science.
Comparison of Seasonal Terrestrial Water Storage Variations from GRACE with in situ Measurements from the High Plains Aquifer Gil Strassberg 1, Bridget.
Winter precipitation and snow water equivalent estimation and reconstruction for the Salt-Verde-Tonto River Basin for the Salt-Verde-Tonto River Basin.
Snow Cover Extent CDR Applications and Societal Benefits David A. Robinson Rutgers, The State University of New Jersey Piscataway, NJ NOAA Climate Data.
Retrieving Snowpack Properties From Land Surface Microwave Emissivities Based on Artificial Neural Network Techniques Narges Shahroudi William Rossow NOAA-CREST.
Passive Microwave Remote Sensing
Connecting Sensors: SSM/I and QuikSCAT -- the Polar A Train.
Development and evaluation of Passive Microwave SWE retrieval equations for mountainous area Naoki Mizukami.
Introduction to NASA Water Products Rain, Snow, Soil Moisture, Ground Water, Evapotranspiration NASA Remote Sensing Training Norman, Oklahoma, June 19-20,
MODSCAG fractional snow covered area (fSCA )for central and southern Sierra Nevada Spatial distribution of snow water equivalent across the central and.
AMSR-E Cryosphere Science Data Product Metrics Prepared by the ESDIS SOO Metrics Team for the Cryosphere Science Data Review January 11-12, 2006.
Online Glacier Photograph Database Please cite the data set as follows: NSIDC/WDC for Glaciology, Boulder, compiler.
Donald W. Cline National Operational Hydrologic Remote Sensing Center National Weather Service, NOAA CLPM Planning Workshop June Fort Collins, Colorado.
NASA Snow and Ice Products NASA Remote Sensing Training Geo Latin America and Caribbean Water Cycle capacity Building Workshop Colombia, November 28-December.
Natural and human induced changes in the water cycle: Relative magnitudes and trends Dennis P. Lettenmaier Department of Geography University of California,
A. Snow Recognition (SNOBS1-b) b. Fractional Snow Cover (SNOBS2-b) c. Snow Water Equivalent (SNOBS3-b) Ankara-Turkey 1 Snow Products development.
INNOVATIVE SOLUTIONS for a safer, better world Capability of passive microwave and SNODAS SWE estimates for hydrologic predictions in selected U.S. watersheds.
1 National HIC/RH/HQ Meeting ● January 27, 2006 version: FOCUSFOCUS FOCUSFOCUS FOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS.
A review on different methodologies employed in current SWE products from spaceborne passive microwave observations Nastaran Saberi, Richard Kelly Interdisciplinary.
AN OVERVIEW OF THE CURRENT NASA OPERATIONAL AMSR-E/AMSR2 SNOW SCIENCE TEAM ACTIVITIES M. Tedesco*, J. Jeyaratnam, M. Sartori The Cryospheric Processes.
1 National Operational Hydrologic Remote Sensing Center February 2-3, 2005 Arctic Climate Science Priorities Workshop Don Cline National Operational Hydrologic.
The passive microwave sea ice products…. ….oh well…
Initial summary of 25 responses to GCW Snow-Watch questionnaire received as of 27/01/2013 Responses are compiled online at the WMO meeting document plan.
Cryospheric Community Contribution to Decadal Survey Compiled from correspondence (about 50 participants) WAIS Meeting Presentation.
SeaWiFS Views Equatorial Pacific Waves Gene Feldman NASA Goddard Space Flight Center, Lab. For Hydrospheric Processes, This.
Snow and Ice Products from the Aqua, Terra, and ICESat Satellites at the National Snow and Ice Data Center Introduction Sensors on the NASA Earth Observing.
EuroGOOS Arctic Task Team Workshop September 2006 Satellite data portals for Arctic monitoring Stein Sandven Nansen Environmental and Remote Sensing.
Over 30% of Earth’s land surface has seasonal snow. On average, 60% of Northern Hemisphere has snow cover in midwinter. About 10% of Earth’s land surface.
In order to accurately estimate polar air/sea fluxes, sea ice drift and then ocean circulation, global ocean models should make use of ice edge, sea ice.
CNSA, May Coordination Group for Meteorological Satellites - CGMS The Development and Status of Chinese Ocean Satellite Presented to CGMS-42 plenary.
Nick Rutter Heterogeneity of snow stratigraphy and grain size within ground-based passive microwave radiometer footprints:
GlobSnow Snow Extent and SWE datasets
Multi-Dataset SWE ‘Ensembles’
Leena Leppänen1, Anna Kontu1, Juha Lemmetyinen1, Martin Proksch2
David A. Robinson Rutgers, The State University of New Jersey
IMPLEMENTING HEMISPHERICAL SNOW WATER EQUIVALENT PRODUCT ASSIMILATING WEATHER STATION OBSERVATIONS AND SPACEBORNE MICROWAVE DATA M. Takala, K. Luojus,
The State of the Cryosphere
The use of remotely-sensed snow, soil moisture and vegetation indices to develop resilience to climate change in Kazakhstan Institute of Geography Contact.
Terrestrial-atmosphere (1)
Quantitative vs. qualitative analysis of snowpack, snowmelt & runoff
ASCAT sensors onboard MetOps : application for sea ice
WMO Snow Watch Team – Second Session June 2016
Passive Microwave Systems & Products
UK Met Office snow data assimilation
Kostas Andreadis and Dennis Lettenmaier
Kostas M. Andreadis1, Dennis P. Lettenmaier1
Beaufort Sea Polynya 2006 – Martin Sharp
NASA NSIDC DAAC Metrics
Presentation transcript:

Daily ”snapshot” of the Cryosphere (terrestrial SWE + Sea Ice) 26 May 2017 10 Sept. 2017

35 year-long CDR time-series on snow conditions of Northern Hemisphere First time reliable daily spatial information on SWE (snow cover): Snow Water Equivalent (SWE) Snow Extent and melt (+ grain size) 25 km resolution (EASE-grid) Time-series for 1979-2016 Passive microwave radiometer data combined with ground-based synoptic snow observations Variational data-assimilation Available at open data archive (www.globsnow.info) Daily NRT production since 2010 Operational within EUMETSAT HSAF Takala, M., Luojus, K., Pulliainen, J., Derksen, C., Lemmetyinen, J., Kärnä, J.-P, Koskinen, J., Bojkov, B., “Estimating northern hemisphere snow water equivalent for climate research through assimilation of spaceborne radiometer data and ground-based measurements”, Remote Sensing of Environment, Vol. 115, Issue 12, 15 December 2011, doi: 10.1016/j.rse.2011.08.014

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2025 SlidePlayer.com. Inc. All rights reserved.