On the Validation and Intercomparison of Global Water Vapor Climate Data Records (CDR’s) from Satellites John M. Forsythe and Thomas H. Vonder Haar Cooperative Institute for Research in the Atmosphere Colorado State University Fort Collins, CO USA forsythe@cira.colostate.edu 2nd NOAA/NESDIS Cooperative Research Program Symposium July 13-14 2005 Madison WI 1 Satellites are Essential for Climate Monitoring The NASA Water Vapor Project (NVAP) dataset, was originated at CIRA in the early 1990’s to employ satellites to study water vapor. Now covering 19882001, NVAP is a blended satellite dataset designed to provide daily, global views of layered and total water vapor. NVAP data available at http://eosweb.larc.nasa.gov/PRODOCS/nvap/table_nvap.html 2nd NOAA/NESDIS Cooperative Research Program Symposium July 13-14 2005 Madison WI 2 Motivation • Water vapor in the atmosphere is expected to increase with warming (~ 7 % / K; Trenberth et al). Water vapor is a key greenhouse gas. • Trends have been reported in surface and radiosonde observations (IPCC, 2001) and SSM/I over oceans (Wentz et al, 2000). • What is the error in our water vapor CDR’s? Can we detect trends? How can new sensors (Aqua, GPS) be used to refine the water vapor CDR? Wentz and Schabel (2000): Global Total Atmospheric Water Vapor from 2xCO2 Model Run (Garratt et al., 1996) + 2.1 % (~0.5 mm) / decade in Tropical Oceans (SSM/I) 29 Ross and Elliott (2001) (radiosondes) : 28 ~3 % / decade over N. America 26 27 (mm) CSIRO Model 25 24 NVAP Observations 23 22 1 1950 50 200099 Years from 1900 Year 148 2050 The NVAP (1988 – 1999) global average of TPW is 24.5 mm, with no significant trend 2nd NOAA/NESDIS Cooperative Research Program Symposium July 13-14 2005 Madison WI 3 SSMI(3) ATOVS AMSU Blended satellite products are often used to measure climate variables: (e.g. ISCCP, GPCP, NVAP) TOVS Each sensor has strengths and weaknesses TMI SSM/T2 TPW 0 20 40 60 80mm Multiple satellite products are blended to create the NVAP dataset. January 1, 2000 Total Precipitable Water (TPW) shown here. NVAP covers 1988 2001 0 10 20 30 40 50 60 70mm 2nd NOAA/NESDIS Cooperative Research Program Symposium July 13-14 2005 Madison WI 4 28 Time series of NVAP Global Mean TPW, 1988 - 1999 27 (mm) 26 25 24 23 22 21 20 1 1988 13 25 37 49 61 73 85 97 109 Months from January, 1988 121 133 1999 Annual Cycle ~ 10 % of Global Mean 2nd NOAA/NESDIS Cooperative Research Program Symposium July 13-14 2005 Madison WI 5 Comparison of the Total Column Water Vapor, Sea Surface Temperature, and Lower Tropospheric Temperature Anomalies - Global Means Three Independent Satellite Measurements – Highly Coupled 1.50 0.8 Mt. Pinatubo Eruption March 1991 1.20 0.90 Major El Nino begins May 1997 0.7 0.6 0.5 0.4 0.60 0.3 0.2 0.1 0.00 0.0 oC (mm) 0.30 -0.1 -0.30 -0.60 -0.90 -1.20 -0.2 -0.3 Multiple, unrelated CDR’s can reinforce each other Total Column Water Vapor Anomalies - NVAP Lower Tropospheric Temperature Anomalies MSU Sea Surface Temperature Anomalies - Reynolds -1.50 1988 -0.4 -0.5 -0.6 -0.7 -0.8 1989 1990 1991 1992 1993 1994 1995 1996 2nd NOAA/NESDIS Cooperative Research Program Symposium 1997 1998 1999 July 13-14 2005 Madison WI 6 Global TPW Anomalies NOAA Operational TOVS seems to be biased low and to have larger amplitude than SSM/I or radiosondes 3.00 2.00 1.00 NVAP TPW 0.00 (mm) 8-Radiosonde only 6-SSMI only -1.00 -2.00 3-TOVS only -3.00 Jan-98 Jan-96 Jan-94 Jan-92 Jan-90 Jan-88 -4.00 2nd NOAA/NESDIS Cooperative Research Program Symposium July 13-14 2005 Madison WI 7 NVAP SSM/I Instruments Usage | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | F8 Every transition in this record represents a challenge for climate monitoring 11/15 F10 4/99 F11 5/95 1/00, 2/00 F13 F14 5/97 3/00 F15 1988, 1989, 1990, 1991, 1992 All months- F8 1993, 1994 All months - F10, F11 1995 All months - F10, F11, F13 starts 5/95, except: Jul - F10, F11 only 1996 All months - F10, F11, F13 1997 F10 ends 11/15, F11, F13, F14 starts May, except: Feb - F10, F11 only, Dec - F11, F14 only 1998 All months - F11, F13, F14, except: Apr - F11, F14 only, Aug - F11, F14 only 1999 F11 ends Apr, F13, F14 2000 F11 Jan and Feb, F13, F14, F15 starts March 2001 All months – F13, F14, F15 2nd NOAA/NESDIS Cooperative Research Program Symposium July 13-14 2005 Madison WI 8 NVAP Mode (Most Common) Data Source Changes Through Time A reanalysis of NVAP is needed to reduce time-dependent biases 1992 1988 - 1999 Dominated by SSM/I over ocean 8 = Radiosonde data only 7 = TOVS and SSM/I combination 6 = SSM/I only 5 = SSM/I interpolated / TOVS combination 1996 4 = SSM/I interpolated 3 = TOVS only 2 = Space interpolated-filled 1 = Time interpolated-filled 0 = Missing data More TOVS soundings produced by NESDIS after 1992 2nd NOAA/NESDIS Cooperative Research Program Symposium July 13-14 2005 Madison WI 9 Ten GCOS Satellite Climate Monitoring Principles (from Tom Karl, NCDC) These have not been achieved for the water vapor CDR Minimize orbit drift Operational production of priority climate products Ensure sufficient overlap Replace prior to failure Facilitate access to products, metadata, and raw data Rigorous pre-launch calibration Need in situ baseline observations Adequate on-board calibration Real-time monitoring of observing system performance Continue baseline instrument observations on decommissioned satellites The Unwritten Principle Use of multiple observing systems and multiple analysis teams (for the same variable) 2nd NOAA/NESDIS Cooperative Research Program Symposium July 13-14 2005 Madison WI 10 Conclusions • The blended NVAP global TPW anomalies have no significant trend from 1988 – 1999. • The operational TOVS record is discontinuous and has a downward trend. SSM/I and radiosonde show upwards global trends in TPW. • There are some significant regional trends. Whether these are real climate trends or instrument & algorithm effects requires further study and NVAP reanalysis. A climate dataset must be initially inspected for time-dependent biases, then it can be reanalyzed to sharpen it’s ability to detect trends. 2nd NOAA/NESDIS Cooperative Research Program Symposium July 13-14 2005 Madison WI 11 Work in Progress at CIRA “Science Stewardship of Thematic Climate Data Records: A Pilot Study with Global Water Vapor” Supported by NESDIS/ORA Goal: Demonstrate scientific stewardship (Bates, 2004, AMS Satellite Conf.) applied to the water vapor CDR. •Problem: Aqua water vapor products became available in mid-2002, but NVAP only covers through 2001. Aqua is the most capable water vapor-sensing spacecraft flown. How does Aqua compare to NVAP? GPS? • Solution: Create ~ 6 months of NVAP from 2003-2004 using heritage data and algorithms and compare to Aqua (AIRS/HSB, AMSR) and GPS. Expect to submit a journal paper with these results in December 2nd NOAA/NESDIS Cooperative Research Program Symposium July 13-14 2005 Madison WI 12 Backup Slides 2nd NOAA/NESDIS Cooperative Research Program Symposium July 13-14 2005 Madison WI 13 1.9 % / decade Wentz and Schabel, Nature, Jan. 27, 2000 2.1 % / decade 1.0 % / decade 2nd NOAA/NESDIS Cooperative Research Program Symposium July 13-14 2005 Madison WI 14 A similar trend analysis of NVAP is in progress at CIRA Figure 2.26: Trends in annual mean surface water vapour pressure, 1975 to 1995, expressed as a percentage of the 1975 to 1995 mean. Areas without dots have no data. Blue shaded areas have nominally significant increasing trends and brown shaded areas have significant decreasing trends, both at the 5% significance level. Biases in these data have been little studied so the level of significance may be overstated. From New et al. (2000). [IPCC 2001]. 2nd NOAA/NESDIS Cooperative Research Program Symposium July 13-14 2005 Madison WI 15