Quality-controlled upper-air sounding dataset for DYNAMO/CINDY/AMIE: Development and corrections

Journal of Atmospheric and Oceanic Technology

Volumn 31, Issue 4, 2014, Pages 741-764

  Ciesielski, Paul E ^a   Yu, Hungjui ^a   Johnson, Richard H ^a   Yoneyama, Kunio ^b   Katsumata, Masaki ^b   Long, Charles N ^c   Wang, Junhong ^d   Loehrer, Scot M ^e   Young, Kathryn ^e   Williams, Steven F ^e   Brown, William ^e   Braun, John ^f   Van Hove, Teresa ^f  

^a Department of Mechanical Engineering   (United States)

^b JAPAN AGENCY FOR MARINE EARTH SCIENCE AND TECHNOLOGY   (Japan)

^c PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^d STATE UNIVERSITY OF NEW YORK   (United States)

^e NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^f UNIVERSITY CORPORATION FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

Aircraft observations; Data quality control; Global positioning systems (GPS); Radiosonde observations; Surface observations

Indexed keywords

CLIMATOLOGY; EXPERIMENTS; GLOBAL POSITIONING SYSTEM; RADIOSONDES;

AIRCRAFT OBSERVATIONS; DATA QUALITY CONTROL; HIGH VERTICAL RESOLUTION; HUMIDITY CORRECTION; MADDEN-JULIAN OSCILLATION; PRECIPITABLE WATER; RADIOSONDE OBSERVATIONS; SURFACE OBSERVATION;

MOISTURE;

ACCURACY ASSESSMENT; AIR-SEA INTERACTION; AIRBORNE SURVEY; DATA SET; ERROR ANALYSIS; GPS; HUMIDITY; MADDEN-JULIAN OSCILLATION; OBSERVATIONAL METHOD; RADIOSONDE; VERTICAL PROFILE;

AFRICA; INDIAN OCEAN; PACIFIC OCEAN; PACIFIC OCEAN (WEST);

EID: 84898899952     PISSN: 07390572     EISSN: 15200426     Source Type: Journal    
DOI: 10.1175/JTECH-D-13-00165.1     Document Type: Article

References (43)

1. Ackerman, T. P., K.-N. Liou, F. P. J. Valero, and L. Pfister, 1988: Heating rates in tropical anvils. J. Atmos. Sci., 45, 1606-1623, doi:10.1175/1520-0469(1988)045<1606:HRITA>2.0.CO;2.
2. Bock, O., and M. Nuret, 2009: Verification of NWP model analyses and radiosonde humidity data with GPS precipitable water vapor estimates during AMMA. Wea. Forecasting, 24, 1085-1101, doi:10.1175/2009WAF2222239.1.
3. Bock, O., M.-N. Bouin, A. Walpersdorf, J. P. Lafore, S. Janicot, F. Guichard, and A. Agusti-Panareda, 2007: Comparison of ground-based GPS precipitable water vapour to independent observations and NWP model reanalysis over Africa. Quart. J. Roy. Meteor. Soc., 133B, 2011-2027, doi:10.1002/qj.185.
4. Boukabara, S.-A., K. Garrett, and W. Chen, 2010: Global coverage of total precipitable water using a microwave variational algorithm. IEEE Trans. Geosci. Remote Sens., 48, 3608-3621, doi:10.1109/TGRS.2010.2048035.
5. Cadeddu, M. P., J. C. Liljegren, and D. D. Turner, 2013: The Atmospheric Radiation Measurement (ARM) program network of microwave radiometers: Instrumentation, data, and retrievals. Atmos. Meas. Tech., 6, 2359-2372, doi:10.5194/ amt-6-2359-2013.
6. Cady-Pereira, K. E., M. W. Shephard, D. D. Turner, E. J. Mlawer, S. A. Clough, and T. J. Wagner, 2008: Improved daytime column-integrated precipitable water vapor from Vaisala radiosonde humidity sensors. J. Atmos. Oceanic Technol., 25, 873-883, doi:10.1175/2007JTECHA1027.1.
7. Ciesielski, P. E., and Coauthors, 2010: Quality controlled upper-air sounding dataset for TiMREX/SoWMEX: Development and corrections. J. Atmos. Oceanic Technol., 27, 1802-1821, doi:10.1175/2010JTECHA1481.1.
8. Ciesielski, P. E., P. T. Haertel, R. H. Johnson, J. Wang, and S. M. Loehrer, 2012: Developing high-quality field program sounding datasets. Bull. Amer. Meteor. Soc., 93, 325-336, doi:10.1175/ BAMS-D-11-00091.1.
9. Fujita, M., F. Kimura, K. Yoneyama, and M. Yoshizaki, 2008: Verification of precipitable water vapor estimated from shipborne GPS measurements. Geophys. Res. Lett., 35, L13803, doi:10.1029/2008GL033764.
10. Immler, F. J., and M. Sommer, 2011: Brief description of the RS92 GRUAN data product (RS92-GDP). GRUAN Tech. Doc. GRUAN-TD-4, 17 pp. [Available online at http://www.dwd. de/bvbw/generator/DWDWWW/Content/Projekte/Gruan/ Downloads/documents/gruan-td-4,templateId5raw,property5 publicationFile.pdf/gruan-4.pdf.]
11. Immler, F. J., J. Dykema, T. Gardiner, D. N. Whiteman, P. W. Thorne, and H. Vömel, 2010: A guide for upper-air reference measurements: Guidance for developing GRUAN data products. Atmos. Meas. Tech. Discuss., 3, 1217-1231, doi:10.5194/ amt-3-1217-2010.
12. International and Scientific Management Group of GATE, 1974: GATE final international scientific plans. Bull. Amer. Meteor. Soc., 55, 711-744, doi:10.1175/1520-0477(1974)055<0711: G>2.0.CO;2.
13. Johnson, R. H., and P. E. Ciesielski, 2013: Structure and properties of Madden-Julian oscillations deduced from DYNAMO sounding arrays. J. Atmos. Sci., 70, 3157-3179, doi:10.1175/JAS-D-13-065.1.
14. Kidder, S. Q., and A. S. Jones, 2007: A blended satellite total precipitable water product for operational forecasting. J. Atmos. Oceanic Technol., 24, 74-81, doi:10.1175/JTECH1960.1.
15. Liou, Y., Y. Teng, T. V. Hove, and J. C. Liljegren, 2001: Comparison of precipitable water observations in the near tropics by GPS, microwave radiometer, and radiosondes. J. Appl. Meteor., 40, 5-15, doi:10.1175/1520-0450(2001)040<0005: COPWOI>2.0.CO;2.
16. Loehrer, S. M., T. A. Edmands, and J. A. Moore, 1996: TOGA COARE upper-air sounding data archive: Development and quality control procedures. Bull. Amer. Meteor. Soc., 77, 2651-2671, doi:10.1175/1520-0477(1996)077<2651: TCUASD≫2.0.CO;2.
17. Long, C. N., andD. J.Holdridge, 2012: Investigations of possible lowlevel temperature and moisture anomalies during the AMIE field campaign on Manus Island. U.S. Department of Energy Tech. Rep. DOE-SC/ARM-TR-119. [Available online at www. arm.gov/publications/tech_reports/doe-sc-arm-tr-119.pdf.]
18. Miloshevich, L. M., H. Vömel, D. N. Whitman, and T. Leblanc, 2009: Accuracy assessment and correction of Vaisala RS92 radiosonde water vapor measurements. J. Geophys. Res., 114, D11305, doi:10.1029/2008JD011565.
19. Nash, J., T. Oakley, H. Vömel, and W. Li, 2011: WMO intercomparisons of high quality radiosonde systems. Instruments and Observing Methods Rep. 107, WMO Tech. Doc. WMO/TD-1580, 238 pp. [Available online at https:// www.wmo.int/pages/prog/www/IMOP/publications/IOM-107_ Yangjiang/IOM-107_Yangjiang.zip.]
20. Nuret, M., J.-P. Lafore, F. Guichard, J.-L. Redelsperger, O. Bock, A. Agusti-Panareda, and J.-B. N'Gamini, 2008: Correction of humidity bias for Vaisala RS80-A sondes during the AMMA 2006 observing period. J. Atmos. Oceanic Technol., 25, 2152-2158, doi:10.1175/2008JTECHA1103.1.
21. Rocken, C., R. H. Ware, T. Van Hove, F. Solheim, C. Alber, and J. Johnson, 1993: Sensing atmospheric water vapor with the global positioning system. Geophys. Res. Lett., 20, 2631-2634, doi:10.1029/93GL02935.
22. Rocken, C., J. M. Johnson, T. M. Van Hove, and T. Iwabuchi, 2005: Atmospheric water vapor and geoid measurements in the open ocean with GPS. Geophys. Res. Lett., 32, doi:10.1029/2005GL022573.
23. Seidel, D. J., and Coauthors, 2009: Reference upper-air observations for climate: Rationale, progress, and plans. Bull. Amer. Meteor. Soc., 90, 361-369, doi:10.1175/2008BAMS2540.1.
24. Steigenberger, P., M. Rothacher, R. Dietrich, M. Fritsche, A. Rülke, and S. Vey, 2006: Reprocessing of a global GPS network. J. Geophys. Res., 111, B05402, doi:10.1029/2005JB003747.
25. Sugidachi, T., and M. Fujiwara, 2013: Correction of the stepwise change observed at 08C in Meisei RS2-91, RS-01G, and RS-06G radiosonde relative humidity profiles. J. Meteor. Soc. Japan, 91, 323-336, doi:10.2151/jmsj.2013-306.
26. Thomas, I. D., M. A. King, P. J. Clarke, and N. T. Penna, 2011: Precipitable water vapor estimates from homogeneously reprocessed GPS data: An intertechnique comparison in Antarctica. J. Geophys. Res., 116, D04107, doi:10.1029/2010JD013889.
27. Tregoning, P., R. Boers, D. O'Brien, and M. Hendy, 1998: Accuracy of absolute precipitable water vapor estimates from GPS observations. J. Geophys. Res., 103, 28 701-28 710, doi:10.1029/ 98JD02516.
28. Vaisala, cited 2011: Sounding data continuity. [Available online at http:// www.vaisala.com/en/products/soundingsystemsandradiosondes/ soundingdatacontinuity/Pages/default.aspx.]
29. Vömel, H., and Coauthors, 2007: Radiation dry bias of the Vaisala RS92 humidity sensor. J. Atmos. Oceanic Technol., 24, 953-963, doi:10.1175/JTECH2019.1.
30. Wang, J., and L.Zhang, 2008: Systematic errors in global radiosonde precipitable water data from comparisons with ground-based GPS measurements. J. Climate, 21, 2218-2238, doi:10.1175/ 2007JCLI1944.1.
31. Wang, J., H. L. Cole, D. J. Carlson, E. R. Miller, K. Beierle, A. Paukkunen, and T. K. Laine, 2002: Corrections of humidity measurement errors from the Vaisala RS80 radiosonde-Application to TOGA COARE data. J. Atmos. Oceanic Technol., 19, 981-1002, doi:10.1175/1520-0426(2002)019<0981: COHMEF>2.0.CO;2.
32. Wang, J., L. Zhang, A. Dai, T. Van Hove, and J. Van Baelen, 2007: A near-global, 2-hourly data set of atmospheric precipitable water from ground-based GPS measurements. J. Geophys. Res., 112, D11107, doi:10.1029/2006JD007529.
33. Wang, J., L. Zhang, A. Dai, F. Immler, M. Sommer, and H. Vömel, 2013: Radiation dry bias correction of Vaisala RS92 humidity data and its impact on historical radiosonde data. J. Atmos. Oceanic Technol., 30, 197-214, doi:10.1175/JTECH-D-12-00113.1.
34. Ware, R. H., and Coauthors, 2000: SuomiNet: A real-time national GPS network for atmospheric research and education. Bull. Amer. Meteor. Soc., 81, 677-694, doi:10.1175/ 1520-0477(2000)081<0677:SARNGN>2.3.CO;2.
35. Webster, P. J., and R. Lukas, 1992: TOGA COARE: The Coupled Ocean-Atmosphere Response Experiment. Bull. Amer. Meteor. Soc., 73, 1377-1416, doi:10.1175/1520-0477(1992)073<1377: TCTCOR>2.0.CO;2.
36. Wentz, F. J., 1997: A well calibrated ocean algorithm for Special Sensor Microwave Imager. J. Geophys. Res., 102, 8703-8718, doi:10.1029/96JC01751.
37. Wu, X., M. W. Moncrieff, and K. A. Emmanuel, 2000: Evaluation of large-scale forcing during TOGA COARE for cloudresolving models and single-column models. J. Atmos. Sci., 57, 2977-2985, doi:10.1175/1520-0469(2000)057<2977: EOLSFD>2.0.CO;2.
38. Yamanaka, M. D., and Coauthors, 2008: HARIMAU radarprofiling network over the Indonesian Maritime Continent: A GEOSS early achievement for hydrological cycle and disaster prevention. J. Disaster Res., 3, 78-88.
39. Yanai, M., S. Esbensen, and J. H. Chu, 1973: Determination of bulk properties of tropical cloud clusters for large-scale heat and moisture budgets. J. Atmos. Sci., 30, 611-627, doi:10.1175/ 1520-0469(1973)030<0611:DOBPOT>2.0.CO;2.
40. Yoneyama, K., and D. B. Parsons, 1999:Aproposed mechanismfor the intrusion of dry air into the tropical west Pacific region. J. Atmos. Sci., 56, 1524-1546, doi:10.1175/1520-0469(1999)056<1524: APMFTI>2.0.CO;2.
41. Yoneyama, K., M. Hanyu, F. Yoshiura, S. Sueyoshi, and M. Katsumata, 2002: Radiosonde observation from the ship in the tropical region. Report of Japan Marine Science and Technology Center, Rep. 45, 31-39. [Available online at http://www.godac.jamstec.go.jp/ catalog/data/doc_catalog/media/shiken45_04.pdf.]
42. Yoneyama, K., C. Zhang, and C. N. Long, 2013: Tracking pulses of the Madden-Julian oscillation. Bull. Amer. Meteor. Soc., 94, 1871-1891, doi:10.1175/BAMS-D-12-00157.1.
43. Young, K., J. Wang, W. Brown, and D. Lauritsen, 2013: Dynamics of the Madden-Julian Oscillation (DYNAMO) 2011 quality controlled radiosonde dataset from RV Revelle. Version 1.2, NCAR, 14 pp. [Available online at http://data.eol.ucar.edu/ datafile/nph-get/347.099/readme.DYNAMO-2011.GAUSRevelle-3rdRelease.pdf.]