Climate Data Records and Scientific Data Stewardship John Bates, Chief Remote Sensing Applications Division NOAA’s National Climatic Data Center (Thanks.

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Climate Data Records and Scientific Data Stewardship John Bates, Chief Remote Sensing Applications Division NOAA’s National Climatic Data Center (Thanks Jeff Privette and Bruce Barkstrom)

ISCCP 25 th Anniversary Symposium 2 23 July 2008 Outline  Scientific Data Stewardship (SDS) –Characteristics of CDRs –A Model for CDR Maturity –Prioritizing Measurements and CDRs –Long-term Information Preservation  GEWEX/ISCCP Water Vapor and Cloud CDRs –Water Vapor Trends –Role of Transients in the General Circulation –Objective Hurricane Trends –Enabling Science - Customer Service  Toward a National Climate Service –ISCCP as an Operational Pilot

ISCCP 25 th Anniversary Symposium 3 23 July 2008 Scientific Data Stewardship (SDS) Scientific Data Stewardship is a Systematic Approach to Observation, Production, and Preservation of Essential Climate Information  Characteristics of CDRs  A Model for CDR Maturity  Prioritizing Measurements and CDRs  Long-term Information Preservation

ISCCP 25 th Anniversary Symposium 4 23 July 2008  NOAA’s Scientific Data Stewardship (SDS) rooted in NRC dialogue and reports  A Climate Data Record (CDR) is a time series of measurements of sufficient length, consistency, and continuity to determine climate variability and change SDS and CDRs

ISCCP 25 th Anniversary Symposium 5 23 July 2008 Key Elements of a Successful CDR Program CDR Organizational Elements High-level leadership council Advisory council to represent climate research community and other stakeholders Fundamental Climate Data Record (FCDR) Teams Thematic Climate Data Record (TCDR) Teams CDR Organizational Elements High-level leadership council Advisory council to represent climate research community and other stakeholders Fundamental Climate Data Record (FCDR) Teams Thematic Climate Data Record (TCDR) Teams CDR Generation Elements High accuracy and stability of FCDRs Pre-launch characterization of sensors and lifetime monitoring Thorough calibration of sensors Well-defined criteria for TCDR selection Stakeholder involvement and feedback for TCDRs Well-defined criteria for TCDR validation Use of in-situ data for validation CDR Generation Elements High accuracy and stability of FCDRs Pre-launch characterization of sensors and lifetime monitoring Thorough calibration of sensors Well-defined criteria for TCDR selection Stakeholder involvement and feedback for TCDRs Well-defined criteria for TCDR validation Use of in-situ data for validation Sustaining CDR Elements Available resources for reprocessing CDRs as new information becomes available Provisions for feedback from scientific community Long-term commitment of resources for generation and archiving of CDRs and associated data Sustaining CDR Elements Available resources for reprocessing CDRs as new information becomes available Provisions for feedback from scientific community Long-term commitment of resources for generation and archiving of CDRs and associated data Fundamental Climate Data Record (FCDR): Time series of calibrated signals for a family of sensors together with the ancillary data used to calibrate them. Thematic Climate Data Record (TCDR): Geophysical variables derived from FCDRs, often generated by blending satellite observations, in-situ data, and model output.

ISCCP 25 th Anniversary Symposium 6 23 July 2008 Defining Scientific Data Stewardship - Characteristics of Climate Data Records Sensor Data Records (SDRs) Data (Direct & Remotely Sensed) Fundamental Climate Data Records (FCDRs) Thematic Climate Data Records (TCDRs) Climate Data Records or Homogenized Time Series Homogenization and Calibration Time-tagged Geo-Referenced Converted to Bio-Geophysical Variables Environmental Data Records (EDRs) Converted to Bio-Geophysical Variables Climate Data Records

ISCCP 25 th Anniversary Symposium 7 23 July 2008 Climate Data Record Cost-Benefit Need for a Maturity Model  Interagency & International views of observational maturity and science data stewardship needs reflect wide diversity –Vocabulary –Experience –Background  Need understandable approach Showing Data Effectiveness Science Observation Society Showing Data Effectiveness

ISCCP 25 th Anniversary Symposium 8 23 July 2008 A Simple CDR Maturity Model  Represent data maturity in terms of three separate dimensions: –Scientific Maturity (Cost) –Preservation Maturity (Cost) –Societal Impact (Benefit)  Total maturity is simply length of vector Scientific Maturity Preservation Maturity Societal Impact Maturity of data for use

ISCCP 25 th Anniversary Symposium 9 23 July 2008 Maturity Model Key Attributes  Scientific Maturity –Physical Understanding of Measurement Process –Measurement of Key Instrument Characteristics –Public Accessibility of Data Processing –Rigorous Validation  Preservation Maturity –Systematic Approach to Guaranteeing Preservation of Data Understanding –Systematic Reduction of Threats to Preservation –Assurance of Preservation Cost Effectiveness  Societal Benefits –GEOSS Benefit areas (bottom up) –Key Science Issues (top down)

ISCCP 25 th Anniversary Symposium July 2008  Societal benefits of the Global Earth Observations System of Systems (GEOSS) emphasize the tradition of applied climatology but using 21 st century systems  Key Science Intergovernmental Panel on Climate Change (IPCC) Issues address the policy- relevant scientific research topics of highest priority for Climate and Global Change studies Prioritizing Observations CDRs Societal Benefits and Key Science Issues NCDC Prioritization Web Site

ISCCP 25 th Anniversary Symposium July 2008 Scientific Data Stewardship – Information Preservation in an Archive  A CDR producer must negotiation with an archive to ensure their information content is preserved by an archive  In turn, to ensure information preservation an archive* must: –Negotiate and accept information from information producers –Obtain sufficient control to ensure long-term preservation –Determine which communities (designated) need to be able to understand the preserved information –Ensure the information to be preserved is independently understandable to the Designated Communities –Follow documented policies and procedures that ensure the information is preserved against all reasonable contingencies –Make the preserved information available to the Designated Communities in forms understandable to those communities *Open Archive Information System – Reference Model (ISO Standard)

ISCCP 25 th Anniversary Symposium July 2008 GEWEX/ISCCP Water Vapor and Cloud CDRs  Water Vapor Trends  Role of Transients in the General Circulation  Objective Hurricane Trends  Enabling Science - Customer Service

ISCCP 25 th Anniversary Symposium July 2008 Water Vapor Feedback in the Tropical Upper Troposphere  Models keep humidity constant as temperatures increase leading to a large positive feedback  Tropical and mid- latitude humidity distribution is complex  What is observed on seasonal, interannual and decadal time scales using satellite data?

ISCCP 25 th Anniversary Symposium July 2008 Simple Water Vapor Feedback  Assume (most models work this way) that the relative humidity remains constant as man-made greenhouse gasses initially warm the atmosphere and ocean  More moisture is evaporated from the surface and the total amount of water in the atmosphere increases  The increased water vapor traps more outgoing radiation thereby further increasing global temperatures – upper troposphere is key  This is a major positive feedback – increasing the man-made warming by 2-3 times

ISCCP 25 th Anniversary Symposium July 2008 Upper Tropospheric Water Vapor Data Sets from NOAA Operational Satellites  Due to the independence of individual HIRS instrument ’ s calibration, biases exist from satellite to satellite.  These intersatellite biases have become a common source of uncertainty faced by long-term studies. Start of HIRS/3 HIRS/ S - 30N N06 N07 N08 N09 N10 N11 N12 N14 N15 N16 N17 Year

ISCCP 25 th Anniversary Symposium July 2008 Intersatellite Calibrated Create a Fundamental Climate Data Record (FCDR) for Users  Biases minimized.  Temperature dependent biases accounted for.  Similar overall variances between HIRS/2 and HIRS/3.  Time series can be extended as variance preserved. Pairs N06-N07N07-N08N09-N10N10-N11N11-N12N12-N14N14-N15N15-N16N16-N17 Ave Diff

ISCCP 25 th Anniversary Symposium July 2008 HIRS12 FCDR Has Been Used for Trend Studies and GCM Evaluation  Soden et al (2005-left)) show the GFDL GCM simulations of upper tropospheric moisture agree well with HIRS12 FCDR  Trend analysis (Bates et al., 2001-right)) show little global trend but some significant regional trends

ISCCP 25 th Anniversary Symposium July 2008 Understanding Interannual and Intraseasonal UTH Tropical Variability  ENSO frequency dominates 30N-30S SST and temperature time series  Higher frequencies dominate 30N-30S upper- troposphere water vapor and clear-sky OLR time series  Extremes are synchronous in both time series – Why? – Interannual-Seasonal- Intraseasonal Interactions

ISCCP 25 th Anniversary Symposium July 2008 A Question of Balance – Dynamic-Thermodynamic Scale Interactions Constrain Feedbacks Rossby wave duct open Rossby wave duct closed UTWV for ENSO Cold Event Jan 1987 UTWV for ENSO Warm Event Jan 1983

ISCCP 25 th Anniversary Symposium July 2008 Simple Water and Energy Cycle RADIATIVE FLUX EVAPORATION PRECIPITATION WATER VAPOR CLOUDS CIRCULATION DYNAMICS Analysis of ISCCP and other GEWEX data sets has given new insights into the interactions between dynamics and thermodynamics and organized convective scale to general circulation scale

ISCCP 25 th Anniversary Symposium July 2008 ISCCP B1 FCDR Rescue Efforts B1 Status satellites B1 Status satellites B1 Status satellites ISCCP B1 data (10km, 3 hr) was stored without stewardship for 15 years at NCDC. We began stewarding it in 2003, putting together 9 formats, 7 navigation, and multiple calibrations into a single accessible FCDR

ISCCP 25 th Anniversary Symposium July 2008 Climate Information Records Raw Satellite Data Geostationary Imagers Infrared window Visible Infrared water vapor HURSAT HURSAT-B1 Brightness Temperatures Geo-located Calibrated netCDF 8km, 3-hourly New intensity estimates (e.g., Kossin et al. 2007) Format? Navigation? Remapping? Data volume? 29 Operational Geostationary Satellites + 16 Operational Polar Satellite 30 Year FCDRs Global and Basin Objective Hurricane Intensity Trends

ISCCP 25 th Anniversary Symposium July 2008 ISCCP Global Archive Customer Service at NCDC  9/25/2006 Hello, I want to order the ISCCP 'D1' dataset, but only for 1 variable (percent cloud cover) and for one 'point' on the globe ( N, E), and only for July, August and September in Can you tell me how I can go about getting this, and what format the data are in, and whether other data formats are available, or what tools there are to access the time series data. I know virtually nothing about satellite data, so any information you can give me would be most helpful. Thank you in advance for your help. Regards, Willow (PhD student, Monash University, Australia).  10/11/2006 Dear Sir or Madam, I am currently conducting some research on ISCCP DX data, that is, the GOE-10 IR Threshold Result and IR-Retrieved Cloud Top Temperature in However, each data set of GOE-10 at ftp://eclipse.ncdc.noaa.gov/ have many variables, so I have to extract IR Threshold Result and IR-Retrieved Cloud Top Temperature from the raw data. And moreover, what I really need is a group of time series formed by these two variables, but I don't know to get it in the most effective way. Here is a detailed description of my question... Best regards, Kun --- Duke University Most data sets are poorly suited for time series studies!

ISCCP 25 th Anniversary Symposium July 2008 Transparent Access to ISCCP  ISCCP D1 data –3-hourly data gridded to 2.5 deg – –more than 100 variables  THREDDS Data Server (TDS) provides interface allowing users to download data as: –netCDF –OpenDAP binary –ASCII

ISCCP 25 th Anniversary Symposium July 2008 Toward a National Climate Service  NOAA has been providing Operational Climate Services through the National Climatic Data Center (NCDC) and the Climate Prediction Center (CPC) for many years (mainly focused on in situ data)  NCDC has recently participated in a Joint NASA-NOAA Working Group to restore climate sensors to NPOESS (following the Nunn-McCurdy restructure) and to begin operational production of satellite CDRs (beginning in FY09)

ISCCP 25 th Anniversary Symposium July 2008 Global Essential Climate Variables (ECVS- Groups of CDRs) with Heritage Records

ISCCP 25 th Anniversary Symposium July 2008 Remains IntactNo Change/Not Relevant Reduced CapabilityRelated Missions DeletedImplies Sensor Present NPOESS InstrumentsNPP EARLY-AMMID-AMPM New C2 (2016) New C4 (2020) Old (C3) (2013) MetOp Old (C6) (2016) New C1 (2013) New C3 (2018) Old (C2) (2011) Old (C5) (2015) Old (C1) (2009) Old (C4) (2014) Reduced Capability Sensors CMIS* Reduced Coverage Sensors CrlS/ATMS IASI/AMSU VIIRS AVHRR De-manifested Sensors TSIS CERES/ERBS CERES ALT OMPS** APS *CMIS to be redefined as a less capable, less expensive sensor **OMPS Limb Subsystem is cancelled and only the Nadir capability is maintained Reductions of Climate-Relevant Sensors NPOESS Nunn-McCurdy Certification

ISCCP 25 th Anniversary Symposium July 2008 Summary of Activities  The White House Science Office requested NOAA and NASA to provide: –An analysis of possible mitigation options of the climate impacts of the NPOESS Nunn-McCurdy Certification through 2026 –An assessment of the potential costs of these options  Primary goal: Ensure continuity of long-term climate records  NOAA and NASA analyzed the following options: –Remanifesting the climate sensors on NPOESS spacecraft –Placing sensors on currently planned non-NPOESS spacecraft –Developing new gap-filling climate satellite missions –Partnering opportunities  Key results: –NOAA’s FY 2009 Passback included $74M to mitigate the loss of climate sensors on NPOESS and to provide long term Climate Data records  Specifically targeted for most cost effective options for launching Clouds and Earth’s Radiant Energy System (CERES) and Total Solar Irradiance Sensor (TSIS), as well as support for initial work on Climate Data Records

ISCCP 25 th Anniversary Symposium July 2008 Recovery of NPOESS De-Manifested Climate Sensors - Status  TSIS –EXCOM approved option for the TSIS instrument to fly on the NPOESS C1 mission  NPOESS C1 option offers lowest cost solution, with an acceptable level of technical and schedule risk  Options to fly TSIS on spacecraft other than NPOESS were examined by NASA – these options are more expensive and present greater schedule risk in terms of assuring measurement continuity –We have identified required funding to implement TSIS on NPOESS C-1 including accommodation costs  CERES –The CERES instrument originally scheduled for a 2013 flight on NPOESS C1 has been accelerated to fly in 2010 on NASA’s NPOESS Preparatory Project (NPP) mission –EXCOM approved additional CERES to fly on C1  ALT –NOAA plans to provide operational continuity for satellite altimetry data with a Jason-3 mission (Jason-2 launch scheduled June 20) –Jason-3 is a NOAA-EUMETSAT partnership mission, planned for launch in 2013  OMPS –OMPS limb added back to NPP (but not to NPOESS)  APS –NOAA is monitoring NASA’s development of APS scheduled to launch in March 2009 on the GLORY mission and will evaluate it before making a decision

ISCCP 25 th Anniversary Symposium July 2008 Flight Schedule – Climate Sensors Primary Mitigation Strategy TSIS CERES Altimeter OMPS (Nadir + Limb) APS Glory Aura Jason-1 Terra, Aqua SORCE NPP Glory NPP Jason-2/OSTM C3 Jason-3 Adv Alt 1 Current and Planned Missions NASA-NOAA Mitigation Flight NPOESS Mitigation Flight C3 Adv Alt x C1 C1-nadir only C1

ISCCP 25 th Anniversary Symposium July 2008 NOAA Climate Data Record (CDR) Science Support  Includes development, production, reprocessing, stewardship, and distribution  Assumes data from all NPOESS certified sensors and mitigation sensors / sources  Covers about 30 Climate Change Science Program essential climate variables  Includes a range of options bounded by a ‘proof of concept’ costing only for Fundamental CDRs (FCDRs) to a full production costing for all Thematic CDRs (TCDRs) and Climate Information Records (CIRs)

ISCCP 25 th Anniversary Symposium July 2008 Management BoardCCSP Observations Management Structure Climate Data Science Teams (FCDR and TCDR Teams) Engaging User Community ModelingMonitoringPredictionResearch Experts in Instrument Characterization, Algorithms, Validation, Data Management, Applications, and Observing System Performance Monitoring Other Agencies GEOSS Intl Data Programs Leveraging Resources / Collaboration Observing System Performance Monitoring Production of Near Real-time CDRs Processing of CDRs for Long-term Records Climate Information Records CDR Stewardship Improved CDR Products Design for Future Systems SDS Generational Elements - Creating Quality CDR Data Flow Diagram

ISCCP 25 th Anniversary Symposium July 2008 Conclusions  ISCCP is the example for Scientific Data Stewardship and Climate Data Records  The foundations of research-operations transition of satellite CDRs has begun within NOAA and NASA  A NOAA program to restore climate sensors to NPOESS has been successful in garnering resources within NOAA to add sensors back  Within NOAA, an operational program for Scientific Data stewardship to generate operational Climate Data Records has begun with ISCCP global processing as one of the prototypes