Quality Control of OLYMPEX sounding data

Slides:



Advertisements
Similar presentations
© Crown copyright Met Office E-AMDAR evaluation. Mark Smees & Tim Oakley, Met Office, May 2008.
Advertisements

José Meitín NOAA Office of Global Programs Steve Williams UCAR Joint Office for Science Support José Meitín NOAA Office of.
Meteorological Observatory Lindenberg – Richard Assmann Observatory The GCOS Reference Upper Air Network.
Contrasting Tropical Rainfall Regimes Using TRMM and Ground-Based Polarimetric Radar Steven A. Rutledge, Robert Cifelli, Timothy J. Lang Colorado State.
“OLYMPEX” Physical validation Precipitation estimation Hydrological applications Field Experiment Proposed for November-December th International.
Software to Manage EEP Vegetation Plot Data A design proposal Michael Lee January 31, 2011.
QARTOD II Currents and Waves In-Situ Currents: Breakout Group Report Out QARTOD II February 28 – March 2, 2005.
ASCII Soundings Binod Pokharel. Two ASCII-WWMPP sounding sites 72MGAUS soundings (ASCII) GPS-based soundings (GRAW) (1 sounding per RSE case) ASCII Window.
AVAPS – Dropsonde HS Field Program & Global Hawk NOAA G-4 Intercomparison HS3 Science Meeting May 5-6, 2015 NCAR EOL ISF 2015 Terry Hock 1, Holger.
Bomin Sun 1,2, A. Reale 2, and M. Divakarla 1,2 (1) I.M. Systems Group, Inc., Rockville, MD (2) NOAA NESDIS Center for Satellite Applications and Research.
MODIS Atmosphere Team Webinar Series #12: Resources for Finding and Using MODIS Products 1 Richard Kleidman (SSAI/613) and Lots and lots and lots of other.
AVAPS – Dropsonde HS Field Program HS3 Science Meeting April 29-30, 2014 NCAR EOL ISF 2014 Terry Hock 1, Gary Wick 2, June Wang 1, Kate Young 1 1.
U.S. Surface Archives Sent to China ( ) 7 th PRC-U.S. Joint Coordination Panel for Data and Information Cooperation 29 Nov. – 1 Dec, 2000 Steven.
October 16-18, Research Data Set Archives Steven Worley Scientific Computing Division Data Support Section.
Meteorological Observatory Lindenberg – Richard Assmann Observatory The GCOS Reference Upper Air Network.
Coordinated Energy and water-cycle Observations Peroject A Well Organized Data Archive System Data Integrating/Archiving Center at University of Tokyo.
Plans for a Sounding Data Monitoring and Display Facility at the NAME Operations Center in Tucson Richard Johnson and Paul Ciesielski Department of Atmospheric.
United Nations Economic Commission for Europe Statistical Division Seasonal Adjustment Process with Demetra+ Anu Peltola Economic Statistics Section, UNECE.
The Role of Polarimetric Radar for Validating Cloud Models Robert Cifelli 1, Timothy Lang 1, Stephen Nesbitt 1, S.A. Rutledge 1 S. Lang 2, and W.K. Tao.
1 The NCAR/NOAA Global Hawk Dropsonde System Gary Wick 1, Terry Hock 2, and Ryan Spackman 1 1 NOAA ESRL/PSD, 2 NCAR/EOL.
WFM 6311: Climate Risk Management © Dr. Akm Saiful Islam WFM 6311: Climate Change Risk Management Akm Saiful Islam Lecture-7:Extereme Climate Indicators.
Ceilometer Observation of Seasonal and Diurnal Variation in Cloud Cover Fraction, Cloud Base Height, and Visual Range in the Eastern Amazon Region Matthew.
Reflectivity and Radial Velocity
Intercomparisons of Water Vapor Measurements during IHOP_2002 – Radiosonde and Dropsonde Junhong (June) Wang NCAR Atmospheric Technology Division Acknowledgement:
MADIS Airlines for America Briefing Meteorological Assimilated Data Ingest System (MADIS) FPAW Briefing Steve Pritchett NWS Aircraft Based Observations.
IHOP_2002 DATA MANAGEMENT UPDATE Steve Williams UCAR/Joint Office for Science Support (JOSS) Boulder, Colorado 2 nd International IHOP_2002 Science Workshop.
IHOP-2002 Data Archive and Development of Composite Data Sets Steven F. Williams, Scot M. Loehrer, Linda E. Cully, Darren R. Gallant, Janine Goldstein,
Meteorological Observatory Lindenberg Results of the Measurement Strategy of the GCOS Reference Upper Air Network (GRUAN) Holger Vömel, GRUAN.
Figure 1. Map of study area. Heavy solid polygon defines “Cascade Mountains” for the purposes of this study. The thin solid line divides the Cascade Mountains.
Meteorological Observatory Lindenberg – Richard Assmann Observatory (2010) GCOS Reference Upper Air Network Holger Vömel Meteorological Observatory Lindenberg.
An Introduction to the Argo Data Sytem South Pacific Workshop 11 – 14 October 2005 Mark Ignaszewski FNMOC.
Deutscher Wetterdienst Lindenberg Meteorological Observatory Richard Assmann Observatory Michael Sommer GRUAN Lead Centre, DWD 2 nd GRUAN Implementation.
DATA MANAGEMENT UPDATE Steve Williams, Linda Cully, and Scot Loehrer NCAR/Earth Observing Laboratory (EOL) NAME SWG (7.5) Meeting 28 October 2005.
NAME Upper-Air Gridded Datasets: Description and Some Preliminary Results Paul E. Ciesielski Richard H. Johnson, Peter J.
Status of S-PolKa Data Sets Bob Rilling, Mike Dixon, Scott Ellis, John Hubbert and Scot Loehrer EOL, NCAR, Boulder, CO DYNAMO radar workshop University.
Instruments. In Situ In situ instruments measure what is occurring in their immediate proximity. E.g., a thermometer or a wind vane. Remote sensing uses.
A global, 2-hourly atmospheric precipitable water dataset from ground-based GPS measurements and its scientific applications Junhong (June) Wang NCAR/EOL/T.
5-7 May 2003 SCD Exec_Retr 1 Research Data, May Archive Content New Archive Developments Archive Access and Provision.
Spatial & Temporal Distribution of Cloud Properties observed by MODIS: Preliminary Level-3 Results from the Collection 5 Reprocessing Michael D. King,
SAC: An Overview SAC ( “Seismic Analysis Code” ) was originally developed by LLNL SAC ( “Seismic Analysis Code” ) was originally developed by LLNL An interactive.
Station lists and bias corrections Jemma Davie, Colin Parrett, Richard Renshaw, Peter Jermey © Crown Copyright 2012 Source: Met Office© Crown copyright.
U.S. Radiosondes Jan. 2000, NWS awarded contracts to two radiosonde manufacturers, Sippican and InterMet Systems, for the development and submission of.
START08 DATA MANAGEMENT AND ARCHIVING UPDATE Janine Goldstein, Steve Williams NCAR Earth Observing Laboratory Boulder, Colorado
Unit 4 Lesson 5 Weather Maps and Weather Prediction
Dave Turner NOAA PECAN Science Workshop Norman, Oklahoma
Karen Kosiba, Josh Wurman, Stacy Brodzik, Andrew Frambach
Driftsonde System Capabilities
OLYMPEX breakout session
An introduction to MEDIN Data Guidelines September 2016
NPOL Olympex Located N/ W, 157 m ASL
Fig. 1. proFIA approach for peak detection and quantification
Evaluation of the Cuban Wind Atlas
Ed Zipser, University of Utah with contributions from
CoSMIR Performance during OLYMPEX
An introduction to MEDIN Data Guidelines.
OLYMPEX Citation comparison with ground-based radars
Marine Meteorology Quality Control at the Florida State University
OLYMPEX An “integrated” GV experiment
OLYMPEx Precipitation
Intro – RAF software OUTLINE: Real-time data - on aircraft or ground
Richard H. Johnson, Paul E. Ciesielski, Brian D
Upper air Meteorological charts
Dropsonde RICO Atmospheric Technology Division/ NCAR Terry Hock

Validation for TPW (PGE06)
Generation of Simulated GIFTS Datasets
Comparison of CTD/XBT Temperature Profiles and XBT/GDEM Sound Speed Profiles LT Annie Laird 08 March 2006.
Open Loop Tracking of GPS Radio Occultation for LEOs
Robert Dattore and Steven Worley
Presentation transcript:

Quality Control of OLYMPEX sounding data Steven Rutledge and Paul E. Ciesielski Colorado State University In this study on … OLYMPEX Workshop 21-23 March, 2017

Data was collected for the period 29 October to 16 January from 5 sites (red dots shown on map). In total 651 upsondes were collected and quality-controlled. At all sites, high vertical resolution (1-2s) data were collected except at CYZT (Port Hardy, BC) where only GTS resolution data were available. In addition, 53 dropsondes were launched from the NASA-DC8 platform.

Pertinent information for OLYMPEX sounding sites Station ID Sonde type Resolution # of soundings Port Hardy, BC 71109, CYZT VRS92 GTS 160 Env. Canada 99001, ENV 2 s 71 Quillayute, WA 72797, KUIL 1 s 162 NPOL-CSU 99000, NPOL 98 Salem, OR 72694, KSLE LMS Dropsondes 99002, DROP VRS904 0.25 s 53 Total 704 Black denotes operational sites, red are experiment enhanced sites VRS92 – Vaisala RS92 sonde with ground station running V3.64 software which include daytime heating and time-lag humidity corrections LMS – Lockheed Martin Sippican Mark II sonde

Visual inventory of sounding data each vertical line of dots represents a successful sonde launch Higher density of dots indicates periods with more frequent launches (up to 8/day at ENVC and NPOL) Quillayute (KUIL) took no soundings from 17 – 28 Dec. due to a power outage at this site. Quillayute went to 4/day soundings from 4-16 January.

Quality-control procedures Level 1 – data from all sites converted to a single ASCII format Level 2 – high-resolution data passed through a series of automated QC checks to systematically detect bad values. For this purpose we used ASPEN (Atmospheric Sounding Processing Environment), a software tool developed by NCAR EOL. This software removes bad data based on several QC checks (e.g., gross limit, vertical consistency, etc). Level 3 – sonde data are checked for humidity biases by comparing sonde TPW to collocated GPS TPW retrievals from SUOMINET data. Note: four of five sites used Vaisala RS sondes with software (V3.64) with built in humidity corrections. No humidity biases were found in the Vaisala data. No collocated GPS TPW were available to check the LMS sonde data from Salem, OR. Level 4 – user-friendly version of hi-res data was created (5-hPa resolution with QC flags on each variable which provide a measure of the data’s reliability). Convective parameters (CAPE, CIN, PW, LCL, EL etc.) computed when possible. Notes: all sites used GPS wind retrievals which have a stated accuracy of 0.15 m/s. all dropsondes were QC’d by NCAR EOL

Example of Level 3 Quality-Control Check on sonde humidity data (top) Mean diurnal cycle of TPW at KUIL with sonde data (green) and collocated GPS data (red) (bottom) mean PW difference (sonde – GPS); vertical lines are σ of this difference. Mean difference (0.07 mm) and difference at individual times (<0.5 mm) are well within uncertainty estimates of these instruments.

Sounding data availability Datasets for all levels were place on NASA Earthdata OLYMPEX archive. Datasets (Levels 2-4) are available in both ASCII and netcdf formats Datasets are available at: fcportal.nsstc.gov/olympex/get-data-ftp-server This site contains the following: - browse folder: skewt plots for all soundings in tarred, compressed format - data folder: datasets in tarred and compressed format - doc folder: detailed QC-document (OLYMPEX_sonde_qc.pdf), readme files for each data level, and sample fortran programs to read ASCII datasets Send questions to: paulc@atmos.colostate.edu

NPOL radar rainmap Sounding time-series cross-section from 16 Nov. 11Z to 18 Nov. 11Z for atmospheric river event; frontal passage late on 17 Nov. GPM overpass Steve, you will have to check with Brenda regarding time of GPM overpass. Additional sounding cross-sections based on KUIL and NPOL soundings can be found at: http://johnson.atmos.colostate.edu/public/paulc/OLYMPEX/

KUIL at 17 Nov. 11Z KUIL at 17 Nov. 23Z Skew-T plots highlighting frontal passage late on 17 November. Note: loss of signal at times at upper-levels at NPOL site. UHF antenna was changed on 19 Nov. which fixed this problem. NPOL at 17 Nov. 11z NPOL at 17 Nov. 23Z NPOL at 18 Nov. 02Z Note: wind barbs (knots) plotted at 50 hPa resolution

KUIL at 17 Nov. 11Z KUIL at 17 Nov. 23Z Skew-T plots highlighting frontal passage late on 17 November. Note: loss of signal at times at upper-levels at NPOL site. UHF antenna was changed on 19 Nov. which fixed this problem. NPOL at 17 Nov. 11z NPOL at 17 Nov. 23Z NPOL at 18 Nov. 02Z Note: wind barbs (knots) plotted at 10 hPa resolution