Variational Bias Correction of GNSS ZTD in the HARMONIE Modeling System

AbstractTo fill the gap in the observation system for humidity, the HIRLAM–ALADIN Research on Mesoscale Operational NWP in Euromed (HARMONIE) limited-area high-resolution kilometer-scale model has been prepared for assimilation of Global Navigation Satellite System (GNSS) zenith total delay (ZTD) observations. The observation-processing system includes data selection, bias correction, quality control, and a GNSS observation operator for data assimilation. A large part of the bias between observations and model equivalents comes from the relatively low model top used in the HARMONIE experiments. The functionality of the different observation-processing components was investigated in detail as was the overall performance of the GNSS ZTD data assimilation. This paper contains an extensive description of the GNSS ZTD observation-processing system and a comparison of a newly introduced variational bias correction for GNSS ZTD data with an alternative static bias correction, as well as a detailed analysis of th...

[1]  E. Lorenz A study of the predictability of a 28-variable atmospheric model , 1965 .

[2]  J. Douša The impact of ultra-rapid orbits on precipitable water vapor estimation using a ground GPS network , 2001 .

[3]  E. Mlawer,et al.  Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave , 1997 .

[4]  D. P. DEE,et al.  Bias and data assimilation , 2005 .

[5]  Galina Dick,et al.  Near real-time water vapor estimation in a German GPS network-first results from the ground program of the HGF GASP project , 2001 .

[6]  Heikki Järvinen,et al.  Variational assimilation of time sequences of surface observations with serially correlated errors , 1999 .

[7]  Heikki Järvinen,et al.  Estimation of Spatial Global Positioning System Zenith Delay observation error covariance , 2005 .

[8]  Véronique Ducrocq,et al.  Impact of high-resolution data assimilation of GPS zenith delay on Mediterranean heavy rainfall forecasting , 2009 .

[9]  Barry E. Schwartz,et al.  Relative Short-Range Forecast Impact from Aircraft, Profiler, Radiosonde, VAD, GPS-PW, METAR, and Mesonet Observations via the RUC Hourly Assimilation Cycle , 2010 .

[10]  V. Masson,et al.  The AROME-France Convective-Scale Operational Model , 2011 .

[11]  Juanzhen Sun,et al.  For How Long Should What Data Be Assimilated for the Mesoscale Forecasting of Convection and Why? Part I: On the Propagation of Initial Condition Errors and Their Implications for Data Assimilation , 2010 .

[12]  Véronique Ducrocq,et al.  Impact of GPS zenith delay assimilation on convective-scale prediction of Mediterranean heavy rainfall , 2009 .

[13]  Florence Rabier,et al.  The interaction between model resolution, observation resolution and observation density in data assimilation: A one‐dimensional study , 2002 .

[14]  Henrik Vedel,et al.  Impact of Ground Based GPS Data on Numerical Weather Prediction , 2004 .

[15]  B. Casati,et al.  Impact of NOAA Ground-based GPS Observations on the Canadian Regional Analysis and Forecast System , 2008 .

[16]  Antonio Rius,et al.  Three-Dimensional Variational Data Assimilation of Ground-Based GPS ZTD and Meteorological Observations during the 14 December 2001 Storm Event over the Western Mediterranean Sea , 2004 .

[17]  S. Ştefănescu,et al.  An overview of the variational assimilation in the ALADIN/France numerical weather‐prediction system , 2005 .

[18]  F. Kleijer,et al.  Mapping function induced bias in tropospheric delay estimation using GPS , 2001 .

[19]  Adrian Jupp,et al.  Operational Assimilation of GPS Zenith Total Delay Observations into the Met Office Numerical Weather Prediction Models , 2012 .

[20]  Furqan Ahmed,et al.  Assimilation of zenith total delays in the AROME France convective scale model: a recent assessment , 2015 .

[21]  Borys Stoew Description and Analysis of Data and Errors in GPS Meteorology , 2004 .

[22]  Michel Rixen,et al.  Report of the 4th World Climate Research Programme International Conference on Reanalyses , 2012 .

[23]  S. Haan,et al.  Assimilation of GNSS ZTD and radar radial velocity for the benefit of very‐short‐range regional weather forecasts , 2013 .

[24]  Véronique Ducrocq,et al.  The benefit of GPS zenith delay assimilation to high‐resolution quantitative precipitation forecasts: a case‐study from COPS IOP 9 , 2009 .

[25]  A. Rius,et al.  Zenith total delay study of a mesoscale convective system: GPS observations and fine-scale modeling , 2002 .

[26]  Tianfeng Chai,et al.  Adjoint retrieval of wind and temperature fields from a simulated convective boundary layer [presentation] , 2000 .

[27]  J. Douša Towards an operational near real-time precipitable water vapor estimation , 2001 .

[28]  J. Redelsperger,et al.  A turbulence scheme allowing for mesoscale and large‐eddy simulations , 2000 .

[29]  Jan Dousa,et al.  Estimation and evaluation of hourly updated global GPS Zenith Total Delays over ten months , 2012, GPS Solutions.

[30]  J. Derber,et al.  A reformulation of the background error covariance in the ECMWF global data assimilation system , 1999 .

[31]  D. Dee,et al.  Variational bias correction of satellite radiance data in the ERA‐Interim reanalysis , 2009 .

[32]  Alina Barbu,et al.  The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of earth surface variables and fluxes , 2012 .

[33]  Nancy Nichols,et al.  Data assimilation with correlated observation errors: experiments with a 1-D shallow water model , 2013 .

[34]  Kazuo Saito,et al.  Mesoscale Data Assimilation of Myanmar Cyclone Nargis Part II: Assimilation of GPS-Derived Precipita , 2011 .

[35]  E. Bazile,et al.  Implementation of a New Assimilation Scheme for Soil and Surface Variables in a Global NWP Model , 2000 .

[36]  Paul Poli,et al.  Forecast impact studies of zenith total delay data from European near real‐time GPS stations in Météo France 4DVAR , 2007 .

[37]  L. Berre Estimation of Synoptic and Mesoscale Forecast Error Covariances in a Limited-Area Model , 2000 .

[38]  Dick Dee,et al.  Adaptive bias correction for satellite data in a numerical weather prediction system , 2007 .

[39]  Kristian Mogensen,et al.  Calculation of zenith delays from meteorological data comparison of NWP model, radiosonde and GPS delays , 2001 .

[40]  F. Bouyssel,et al.  A comparison of two off‐line soil analysis schemes for assimilation of screen level observations , 2009 .

[41]  A. Pier Siebesma,et al.  Analytical expressions for entrainment and detrainment in cumulus convection , 2010 .

[42]  Paul Poli,et al.  Diagnosis of observation, background and analysis‐error statistics in observation space , 2005 .

[43]  Xiaolei Zou,et al.  A Case Study of the Variational Assimilation of GPS Zenith Delay Observations into a Mesoscale Model , 2001 .

[44]  Steven Businger,et al.  GPS Meteorology: Mapping Zenith Wet Delays onto Precipitable Water , 1994 .

[45]  Erik Andersson,et al.  Variational assimilation of time sequences of surface observations with serially correlated errors: SURFACE OBSERVATIONS WITH SERIALLY CORRELATED ERRORS , 2002 .

[46]  T. Herring,et al.  GPS Meteorology: Remote Sensing of Atmospheric Water Vapor Using the Global Positioning System , 1992 .