Development of sea ice climate data records. W. Meier

Similar documents
OSI SAF Sea Ice products

Passive Microwave Sea Ice Concentration Climate Data Record

OSI SAF Sea Ice Products

NSIDC/Univ. of Colorado Sea Ice Motion and Age Products

Sea ice outlook 2010

A. Windnagel M. Savoie NSIDC

State of Passive Microwave Polar Stereographic Products. Walt Meier and polar stereographic product team

High resolving sea ice concentration: ASI continuity, transition to AMSR2, comparisons

Northern Hemisphere Snow and Ice Data Records

Sea ice outlook 2011

Sea Ice Extension and Concentration from SAC-D MWR Data

Climate Data Record (CDR) Program. Climate Algorithm Theoretical Basis Document (C-ATBD) Sea Ice Concentration

Sea ice outlook 2012

NSIDC Metrics Report. Lisa Booker February 9, 2012

Analysis of Antarctic Sea Ice Extent based on NIC and AMSR-E data Burcu Cicek and Penelope Wagner

Temporal and Regional Variability of Arctic Sea Ice Extent from Satellite Data

Recent Improvements in the U.S. Navy s Ice Modeling Efforts Using CryoSat-2 Ice Thickness for Model Initialization


From L1 to L2 for sea ice concentration. Rasmus Tonboe Danish Meteorological Institute EUMETSAT OSISAF

This is version v0.2 of this report issued together with the SIT and SIV data sets at the ICDC ESA-CCI- Projekt web page

Some NOAA Products that Address PSTG Satellite Observing Requirements. Jeff Key NOAA/NESDIS Madison, Wisconsin USA

3904 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, VOL. 10, NO. 9, SEPTEMBER 2017

EVALUATION OF ARCTIC OPERATIONAL PASSIVE MICROWAVE PRODUCTS: A CASE STUDY IN THE BARENTS SEA DURING OCTOBER 2001

Arctic Regional Ocean Observing System Arctic ROOS Report from 2012

Assessing uncertainties in sea ice extent climate indicators

Could Instrumentation Drift Account for Arctic Sea Ice Decline?

Presentation of met.no s experience and expertise related to high resolution reanalysis

Global Sea Ice Edge and Type. Product User's Manual

Validation of satellite derived snow cover data records with surface networks and m ulti-dataset inter-comparisons

Ice Surface temperatures, status and utility. Jacob Høyer, Gorm Dybkjær, Rasmus Tonboe and Eva Howe Center for Ocean and Ice, DMI

Sea Ice Concentration Climate Data Record Validation Report

!"#$%&'()**+###, -###./*00"/*0.)**+ 1)**+### -,2 34,52 3,2

A New Global Ice Analysis System

ARCTIC SEA ICE ALBEDO VARIABILITY AND TRENDS,

Sea Ice Metrics in CMIP5

QUALITY INFORMATION DOCUMENT For Arctic Ice Extent Indicator. ARC_SEAICE_INDEX_002

Investigation of Arctic ice cover variance using XX century historical ice charts information and last decades microwave data

Sinéad Louise Farrell1,2,3 Thomas Newman1,2,, Alek Petty 1,2, Jackie Richter-Menge4, Dave McAdoo1,2, Larry Connor2

NSIDC Sea Ice Outlook Contribution, 31 May 2012

Observations of Arctic snow and sea ice thickness from satellite and airborne surveys. Nathan Kurtz NASA Goddard Space Flight Center

The EUMETSAT OSI SAF Sea Ice Concentration Algorithm. Algorithm Theoretical Basis Document

Lake ice cover and surface water temperature II: Satellite remote sensing

Global Sea Ice Concentration Climate Data Record. Product User Manual

Global Sea Ice Edge and Type. Product User's Manual

Arctic marginal ice zone trending wider in summer and narrower in winter

Sea Ice Forecast Verification in the Canadian Global Ice Ocean Prediction System

Sea ice as a key climate indicator in the Arctic

Overview of sea ice data assimilation activities at Environment Canada

Summary The present report describes one possible way to correct radiometric measurements of the SSM/I (Special Sensor Microwave Imager) at 85.5 GHz f

Pan-Arctic Land and Lake Surface Temperature from AATSR and MODIS: Products Development and Evaluation

Københavns Universitet

Observing Snow: Conventional Measurements, Satellite and Airborne Remote Sensing. Chris Derksen Climate Research Division, ECCC

Sea ice concentration off Dronning Maud Land, Antarctica

Global SWE Mapping by Combining Passive and Active Microwave Data: The GlobSnow Approach and CoReH 2 O

Floating Ice: Progress in Addressing Science Goals

Climate data records from OSI SAF scatterometer winds. Anton Verhoef Jos de Kloe Jeroen Verspeek Jur Vogelzang Ad Stoffelen

Blended Sea Surface Winds Product

Recent Data Assimilation Activities at Environment Canada

Detection, tracking and study of polar lows from satellites Leonid P. Bobylev

IASI L2Pcore sea surface temperature. By Anne O Carroll, Thomas August, Pierre Le Borgne and Anne Marsouin

Sea ice concentration retrieval and assimilation. Leif Toudal Pedersen, Technical University of Denmark

The US Navy s Current and Future Sea Ice Forecast Capabilities

C o p e r n i c u s L a n d M o n i t o r i n g S e r v i c e

Whither Arctic Sea Ice?

Ocean Vector Wind as Essential Climate Variable.

Analysis of Turbulent Flux Quality

Improving numerical sea ice predictions in the Arctic Ocean by data assimilation using satellite observations

Satellite Application Facility on Ocean and Sea Ice (OSI SAF) Cécile Hernandez Plouzané, 20 June 2017

Condensing Massive Satellite Datasets For Rapid Interactive Analysis

! ""#$ %"& "! '!()*+)&, "- (""!."/ "/115

Observing Arctic Sea Ice Change. Christian Haas

Remote sensing of sea ice

NESDIS Polar (Region) Products and Plans. Jeff Key NOAA/NESDIS Madison, Wisconsin USA

AMAP. Climate Change in the Cryosphere: Snow, Water, Ice and Permafrost in the Arctic (SWIPA) Assessment Summary

Interpretation of Polar-orbiting Satellite Observations. Atmospheric Instrumentation

We greatly appreciate the thoughtful comments from the reviewers. According to the reviewer s comments, we revised the original manuscript.

In-situ and airborne sea ice observations for better sea ice prediction and climate analysis. Christian Haas

Two New Snow Products: NASA MEaSUREs and MODIS Collec<on- 6 Snow Cover

Ocean & Sea Ice SAF. Validation of ice products January September Version 1.0. September 2004

Improving passive microwave sea ice concentration algorithms for coastal areas: applications to the Baltic Sea

Operational systems for SST products. Prof. Chris Merchant University of Reading UK

The MSC Beaufort Wind and Wave Reanalysis

Ocean and Sea Ice TAC

Recent changes in the dynamic properties of declining Arctic sea ice: A model study

Antarctic Sea Ice Extent (Observations)

ANT D1.3 Product User Guide (PUG)

Assimilation of Snow and Ice Data (Incomplete list)

Arctic sea ice falls below 4 million square kilometers

Usage of in situ SST measurements in match-up databases and Sentinel-3 SLSTR cal/val

Operational ice modelling and forecasting, sea ice data assimilation, impact of satellite observations

Ocean & Sea Ice SAF. Validation of ice products January March Version 1.1. May 2005

Algorithm Theoretical Basis Document for the OSI SAF Global Sea Ice Edge and Type Product

NOAA Snow Map Climate Data Record Generated at Rutgers

Scatterometer Wind Assimilation at the Met Office

Preparation for Himawari 8

Evaluation of updated JXAM5 snow cover extent product using ground based snow depth information

Francis O. 1, David H. Bromwich 1,2

Half-Yearly Operations Report

PUBLICATIONS. Journal of Geophysical Research: Oceans. An intercomparison of Arctic ice drift products to deduce uncertainty estimates

Accelerated decline in the Arctic sea ice cover

Transcription:

Development of sea ice climate data records W. Meier WOAP Workshop, Frascati, Italy, 18 April 2011

Passive microwave sea ice data 32+ year record able to track long-term trends Near-complete, daily fields (all-sky conditions) Consistent data source, algorithm, and processing methods high confidence in comparing sea ice conditions through the years But issues remain: Several algorithm products Limited quality/error information Little or no metadata September Monthly Mean Sea Ice Concentration 1979 2010

Timeline of passive microwave sensors for sea ice 1970 1980 1990 2000 2010 2020 ESMR Nimbus-5 (single channel) SMMR Nimbus-7 F8 DMSP F11 F13 * F17 SSM/I SSMIS F18 F19, F20 JPSS MIS? NASA EOS Aqua AMSR-E JAXA GCOM-W AMSR2 AMSR3,4 *May 2009 Intercalibration of F13 and F17 sea ice products: first time done for near-real-time sea ice data

How much sea ice is there? (Arctic) ArcticROOS NSIDC U. Bremen JAXA DMI U. Illinois

Satellite-derived Sea Ice Products Community Workshop 15-16 March 2011 NASA Goddard Workshop inspired and supported by WCRP CliC Hosted by the NASA Goddard Cryosphere Branch 26 total attendees Algorithm developers Product distributors Operational community Users (models, remote sensing) Attendees from U.S., Canada, UK, Norway, Denmark, Germany, Turkey, Japan Input solicited from invitees who could not attend Focused mostly on discussion of major issues Uncertainties Documentation Conventions and methods (e.g., concentration threshold, landmasks Data formats Future plans for collaboration Continued communication CliC Meeting Report/White Paper Journal articles (Eos article on meeting issues, review article on product intercomparisons) Cooperation on input to future assessments and reports (e.g., SEARCH Sea Ice Outlook, IPCC) Possible ensemble sea ice extent estimates? Updated land and region masks to be shared among community

OSI SAF Operational (DMI+met.no) Title/Product Name Algorithm(s) Sensor(s) Channels (Freq./Pol.) Concentration cutoff/weather filters/qc Grid/projection Format Temporal frequency OSI SAF Global Operational Sea Ice Concentration (OSI 401) Bootstrap (frequency mode) + Bristol SSM/I. Soon to include SSMIS. 19v, 37v, and 37h Cutoff at 0% and 100%. No weather filter (but atm. correction via an RTM). Monthly tie points (diff for NH and SH). Climatology mask. Polar stereographic (both NH and SH). 10 km. GRIB, HD5, and NetCDF (CF 1.4) Daily (average centered on 12 UTC) Time period NRT (archived since 2005) Distribution/access Metadata Website FTP, EUMETCast, EDC, THREDDS/OpenDAP, browse imagery Product level, full file level (netcdf CF), cell level (confidence from 1 to 5) http://osisaf.met.no (docs, quicklooks, data)

OSI SAF Re-processing (DMI+met.no) Title/Product Name Algorithm(s) Sensor(s) Channels (Freq./Pol.) Concentration cutoff/weather filters/qc Grid/projection and Resolution Format Temporal frequency OSI SAF Global Sea Ice Concentration Reprocessing (OSI 409) Bootstrap FM + Bristol SMMR, SSM/I 19v, 37v, and 37h Cutoff at 0% and 100%. No weather filter (but atm. corr via an RTM). Dynamic tie points. Climatology mask. T2m check. Polar stereographic 10km (NH+SH), Polare EASE 12.5km and 25km. NetCDF (CF 1.4) Daily and Monthly Time period 1978 2007 (soon to 2009) Distribution/access Metadata Website FTP, browse imagery Product level, full file level (netcdf CF), cell level (uncertainties as error bars) http://osisaf.met.no (docs, quicklooks, data)

ASI / University of Bremen Title/Product Name ASI Sea ice concentration Algorithm(s) Sensor(s) Channels (Freq./Pol.) Concentration cutoff/weather filters/qc Grid/projection (or swath) and Resolution Format ARTIST Sea Ice (ASI) AMSR E 89V, 89H Cutoff: 15% 3 Weather filters: IC = 0 if GR(37,19) >= 0.05 or GR(24.19) >= 0.04 or IC(Bootstrap)= 0. Polar stereographic, 6.25 km (hemispherical products) and 3.125 km (regional products). Resolution 4x6 km (AMSR E 89GHz).png,.hdf,.ps,.tif

ASI / University of Bremen (cont'd) Title/Product Name ASI Sea ice concentration Temporal frequency Time period Since Oct 2002 Distribution/access NRT daily: 0300 UTC (day before) 1800 (current ) Free for occasional and scientific users of standard products. Online archive. Metadata G. Spreen, L. Kaleschke and G. Heygster 2008: Sea ice remote sensing using AMSR-E 89 GHz channels. J. Geophys. Res 113, C02S03, doi:10.1029/2005jc003384. Website http://www.iup.uni-bremen.de/seaice/amsr/

NASA GSFC Sea Ice Concentrations (NT) Title/Product Name Algorithm(s) NASA Team Nimbus-7 SMMR and DMSP SSM/I-SSMIS Daily Polar Gridded Sea Ice Concentrations NASA Team Sensor(s) SMMR, SSM/I (F8, F11, F13), SSMIS (F17) Channels (Freq./Pol.) 19V, 19H, 22V, 37V, Concentration cutoff/weather filters/qc Grid/projection (or swath) and Resolution Format Temporal frequency Time period Distribution/access Metadata Website Cutoff: 15%; Wx: GR3719, GR2219; land-spillover correction; ocean SST climatology mask Polar stereographic, 25 km Flat binary with 300-byte header Daily and monthly Nov 1978 Dec 2008 (NRT product through present, updated daily) NSIDC FTP for sea ice concentrations; NSIDC and GSFC websites for sea ice extents and areas time series Journal reference, guide doc., file-level basic header NSIDC Data: http://nsidc.org/data/nsidc-0051.html GSFC Data: http://neptune.gsfc.nasa.gov/csb/index.php?section=59

NASA GSFC Sea Ice Concentrations (NT2) Title/Product Name Algorithm(s) Sensor(s) Channels (Freq./Pol.) Concentration cutoff/weather filters/qc Grid/projection (or swath) and Resolution Format Temporal frequency Time period Distribution/access Metadata Website NASA Team 2 DMSP SSM/I-SSMIS and AMSR-E Daily Polar Gridded Sea Ice Concentrations NASA Team 2 (NT2) SSM/I (F8, F11, F13), SSMIS (F17), AMSR-E 19V, 19H, 22V, 37V, 89V, 89H Cutoff: 15%; Wx: GR3719, GR2219; land-spillover correction; ocean SST climatology mask Polar stereographic, 25 km Flat binary Daily SSMI (1992-2008); AMSR-E (2002-present) NSIDC website for AMSR-E sea ice concentrations; GSFC website for SSMI sea ice concentrations SSMI and AMSR-E: Level 3 gridded satellite-derived; partially validated NSIDC Data: http://nsidc.org/data/ae_si12.html (AMSR-E) GSFC Data: http://neptune.gsfc.nasa.gov/csb/index.php?section=55

NASA GSFC Bootstrap Title/Product Name Algorithm(s) Sensor(s) Channels (Freq./Pol.) Concentration cutoff/weather filters/qc Grid/projection (or swath) and Resolution Format Temporal frequency Time period Distribution/access Metadata Website BASIC/SMMR, SSM/I, and AMSR E Polar Gridded Sea Ice Concentrations, Ice Extent and Ice Area Bootstrap Algorithm SMMR, SSM/I (F8, F11, F13), SSMIS (F17), AMSR E 19H, 37V, 37H Cutoff: 8%; Ocean Mask: 19V, 22V, 37V, surface temperature climatology; land spillover correction Polar stereographic, 25 km for SMMR, SSM/I and AMSR E, 12.5 for AMSR E Flat binary with 300 byte header Daily and monthly 1978 present for SMMR and SSM/I, 2002 present for AMSR E FTP from NSIDC Dataset level journal ref. and guide doc., no file level Data: http://nsidc.org/data/nsidc 0079.html Imagery: http://nsidc.org/data/nsidc 0079.html

NSIDC Sea Ice Concentration CDR Title/Product Name NOAA/NSIDC Sea Ice Concentration Climate Data Record Algorithm(s) Sensor(s) Channels (Freq./Pol.) Concentration cutoff/weather filters/qc Grid/projection and Resolution Format Temporal frequency Bootstrap + NASA Team SMMR, SSM/I, SSMIS intercalibrated at product level 19v, 19h, 22v, 37v, and 37h Cutoff at 15% and 100%. Weather filter, climatology mask. Near coast/melt flags, concentration st. dev. Polar stereographic, 25 km NetCDF4_CF (climate and forecasting attributes) Daily and Monthly Time period 1978 present: planned release end summer 2011 Distribution/access Metadata Website FTP from NSIDC and NOAA CDR program Product level (ISO 19115), full file level (NetCDF_CF and ISO 19115), grid cell level (data quality flags, st. dev.), DOI http://www.ncdc.noaa.gov/cdr/

NOAA/NSIDC Sea Ice Concentration CDR Maturity Matrix Current NSIDC sea ice concentration products are level ~3-4 CDR product will be level 5-6 Will meet GCOS requirements Source code and processing methods will be provided Version control on code Metadata, including dataset DOI

Current NSIDC Sea Ice Concentration Products NASA Team (NT) 1 byte integer array Flat binary format Concentration scaled 0 250 (quarter %) Land, coast, pole, missing flag values 300 byte header w/ limited metadata No quality/error information NT Antarctic landmask Bootstrap (BT) 2 byte integer array Flat binary format Concentration scaled 0 1000 (tenth %) Land, pole/missing flag values No header, no file level metadata No quality/error information BT Antarctic landmask Future Sea Ice Concentration CDR Sea Ice Concentration CDR Suite of 1 byte integer array for NT, BT and a combined field NetCDF4_CF format Concentration 0 100% Land, coast, pole, missing, lake flag values Full ISO 19115 standard metadata Extent and data quality fields Consistent landmask in Antarctic Funded by NOAA Climate Data Record Program

Combined sea ice field 1. BT ice edge Coarse spatial resolution leads to ambiguous ice edge 37 GHz channel has smaller footprint and more sensitive to thin ice o BT edge uses only 37 GHz o NT uses 19 and 37 GHz 2. Max(BT NT) for each grid cell PM concentration generally biased low o NT for thin ice and melt o BT for interior cold temps.

% Concentration 100 0 Combined NT & BT Conc. Sea Ice Extent Concentration CDR Product Suite BT Only NT Only NT > BT BT > NT BT = NT Original NASA Team (NT) and Bootstrap (BT) products also included in same format and scaling +100 Conc. Diff. Quality Field 15 July 2007 % BT NT Conc. Diff. 100 NT & BT 3x3 St. Dev. 0 % 50 no melt melt

% Concentration 100 0 Combined NT & BT Concentration Sea Ice Extent Concentration CDR Product Suite BT Only NT Only NT > BT BT > NT BT = NT Original NASA Team (NT) and Bootstrap (BT) products also included in same format and scaling +100 Concentration Diff. Quality Field 15 Sep 2007 % BT NT Conc. Diff. 100 NT & BT 3x3 St. Dev. 0 % 50

2007 Sea Ice Extent Arctic Antarctic

September Trends (NOTE: SCALE VARIES) Bootstrap NASA Team BT - NT

Operational sea ice analyses Operational ice analysis groups, e.g.: U.S. National Ice Center Canadian Ice Service Danish Meteorological Institute Daily or weekly ice charts High resolution information Human analysis Focused on near-ice-edge regions Accurate, but not consistent over time Useful for intercomparison/validation with satellite products

Multi-sensor Analyzed Sea Ice Extent (MASIE) Collaboration between NSIDC and NIC Based on NOAA IMS product Vis/IR/SAR/PM inputs + human analysis 4 km resolution Daily extent/edge Several formats http://nsidc.org/data/masie/

Other satellite-derived sea ice products Melt onset, duration Motion Age, multiyear fraction Also VIS/IR sea ice products

Sea ice age Proxy for ice thickness Other things being equal: Older ice = Thicker ice Developed by J. Maslanik and C. Fowler, U. Colorado Lagrangian tracking of ice parcels (input motion data) Passive microwave data, visible imagery, buoys 1979-present Similar approach used with buoys (I. Rigor, U. Wash.) Part of NOAA project (J. Key, PI) to transition to CDR-level product over next two years

Ice is getting younger and thinner Much of older, thicker ice north of Alaska melting away during sum Mar 1985 Mar 1986 Mar 2010 Mar 2011 Based on satellite observations; from J. Maslanik, C. Fowler, Univ. Colorado

Multiyear ice from scatterometer data From NASA QuikScat scatterometer data From Kwok et al., 2009

ICESat sea ice thickness and volume From Kwok et al., 2009

Submarine and ICESat ice thickness From Kwok and Rothrock, 2009

Sea Ice Thickness Continuing data: Cryosat-2, IceBridge, ICESat-2 Unified Sea Ice Thickness CDR Gridded product R. Lindsay, Univ. Washington Submarine and in situ http://psc.apl.washington.edu/sea_ice_cdr/

Thanks!