Reference Upper-Air Observations for Climate: Rationale, Progress, and Plans

Dian J. Seidel
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Franz H. Berger
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Howard J. Diamond
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John Dykema
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David Goodrich
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Franz Immler
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William Murray
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Thomas Peterson
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Douglas Sisterson
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Michael Sommer
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Peter Thorne
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Holger Vomel
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Junhong Wang
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While the global upper-air observing network has provided useful observations for operational weather forecasting for decades, its measurements lack the accuracy and long-term continuity needed for understanding climate change. Consequently, the scientific community faces uncertainty on key climate issues, such as the nature of temperature trends in the troposphere and stratosphere; the climatology, radiative effects, and hydrological role of water vapor in the upper troposphere and stratosphere; and the vertical profile of changes in atmospheric ozone, aerosols, and other trace constituents. Radiosonde data provide adequate vertical resolution to address these issues, but they have questionable accuracy and time-varying biases due to changing instrumentation and techniques. Although satellite systems provide global coverage, their vertical resolution is sometimes inadequate and they require independent reference observations for sensor and data product validation, and for merging observations from different platforms into homogeneous climate records. To address these shortcomings, and to ensure that future climate records will be more useful than the records to date, the Global Climate Observing System (GCOS) program is initiating a GCOS Reference Upper-Air Network (GRUAN) to provide high-quality observations using specialized radiosondes and complementary remote sensing profiling instrumentation that can be used for validation. This paper outlines the scientific rationale for GRUAN, its role in the Global Earth Observation System of Systems, network requirements and likely instrumentation, management structure, current status, and future plans. It also illustrates the value of prototype reference upper-air observations in constructing climate records and their potential contribution to the Global Space-Based Inter-Calibration System. We invite constructive feedback on the GRUAN concept and the engagement of the scientific community.

NOAA/Air Resources Laboratory, Silver Spring, Maryland

Deutscher Wetterdienst, Meteorologisches Observatorium Lindenberg, Lindenberg, Germany

NOAA/National Climatic Data Center/World Data Center for Meteorology, Silver Spring, Maryland

School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts

WMO/Global Climate Observing Programme, Geneva, Switzerland

STG, Inc., NOAA/Climate Program Office, Silver Spring, Maryland

NOAA/National Climatic Data Center, Asheville, North Carolina

Decision and Information Science Division, Argonne National Laboratory, Argonne, Illinois

Met Office, Hadley Centre, Exeter, United Kingdom

National Center for Atmospheric Research, Earth Observing Laboratory, Boulder, Colorado

CURRENT AFFILIATION: NOAA/Climate Program Office, Silver Spring, Maryland

CORRESPONDING AUTHOR: Dian J. Seidel, NOAA Air Resources Laboratory, 1315 East West Highway (R/ARL), Silver Spring, MD 20910, E-mail: dian.seidel@noaa.gov

While the global upper-air observing network has provided useful observations for operational weather forecasting for decades, its measurements lack the accuracy and long-term continuity needed for understanding climate change. Consequently, the scientific community faces uncertainty on key climate issues, such as the nature of temperature trends in the troposphere and stratosphere; the climatology, radiative effects, and hydrological role of water vapor in the upper troposphere and stratosphere; and the vertical profile of changes in atmospheric ozone, aerosols, and other trace constituents. Radiosonde data provide adequate vertical resolution to address these issues, but they have questionable accuracy and time-varying biases due to changing instrumentation and techniques. Although satellite systems provide global coverage, their vertical resolution is sometimes inadequate and they require independent reference observations for sensor and data product validation, and for merging observations from different platforms into homogeneous climate records. To address these shortcomings, and to ensure that future climate records will be more useful than the records to date, the Global Climate Observing System (GCOS) program is initiating a GCOS Reference Upper-Air Network (GRUAN) to provide high-quality observations using specialized radiosondes and complementary remote sensing profiling instrumentation that can be used for validation. This paper outlines the scientific rationale for GRUAN, its role in the Global Earth Observation System of Systems, network requirements and likely instrumentation, management structure, current status, and future plans. It also illustrates the value of prototype reference upper-air observations in constructing climate records and their potential contribution to the Global Space-Based Inter-Calibration System. We invite constructive feedback on the GRUAN concept and the engagement of the scientific community.

NOAA/Air Resources Laboratory, Silver Spring, Maryland

Deutscher Wetterdienst, Meteorologisches Observatorium Lindenberg, Lindenberg, Germany

NOAA/National Climatic Data Center/World Data Center for Meteorology, Silver Spring, Maryland

School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts

WMO/Global Climate Observing Programme, Geneva, Switzerland

STG, Inc., NOAA/Climate Program Office, Silver Spring, Maryland

NOAA/National Climatic Data Center, Asheville, North Carolina

Decision and Information Science Division, Argonne National Laboratory, Argonne, Illinois

Met Office, Hadley Centre, Exeter, United Kingdom

National Center for Atmospheric Research, Earth Observing Laboratory, Boulder, Colorado

CURRENT AFFILIATION: NOAA/Climate Program Office, Silver Spring, Maryland

CORRESPONDING AUTHOR: Dian J. Seidel, NOAA Air Resources Laboratory, 1315 East West Highway (R/ARL), Silver Spring, MD 20910, E-mail: dian.seidel@noaa.gov
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