On the assimilation of satellite sounder data in cloudy skies in numerical weather prediction models

Satellite measurements are an important source of global observations in support of numerical weather prediction (NWP). The assimilation of satellite radiances under clear skies has greatly improved NWP forecast scores. However, the application of radiances in cloudy skies remains a significant challenge. In order to better assimilate radiances in cloudy skies, it is very important to detect any clear field-of-view (FOV) accurately and assimilate cloudy radiances appropriately. Research progress on both clear FOV detection methodologies and cloudy radiance assimilation techniques are reviewed in this paper. Overview on approaches being implemented in the operational centers and studied by the satellite data assimilation research community is presented. Challenges and future directions for satellite sounder radiance assimilation in cloudy skies in NWP models are also discussed.

[1]  Fuzhong Weng,et al.  Improved Quantitative Precipitation Forecasts by MHS Radiance Data Assimilation with a Newly Added Cloud Detection Algorithm , 2013 .

[2]  David J. Stensrud,et al.  Assimilating Cloud Water Path as a Function of Model Cloud Microphysics in an Idealized Simulation , 2015 .

[3]  Ming Hu,et al.  Implementation and evaluation of cloud analysis with WSR‐88D reflectivity data for GSI and WRF‐ARW , 2007 .

[4]  W. Paul Menzel,et al.  Retrieval of Cloud Parameters from Satellite Sounder Data: A Simulation Study , 1989 .

[5]  Richard Marriott,et al.  The impact of Metop and other satellite data within the Met Office global NWP system using an adjoint-based sensitivity method , 2013 .

[6]  Dongsoo Kim.  An Initial RUC cloud analysis assimilating GOES cloud-top data , 2000 .

[7]  P. Minnis,et al.  Variational Assimilation of Cloud Liquid/Ice Water Path and Its Impact on NWP , 2015 .

[8]  W. Menzel,et al.  AIRS Subpixel Cloud Characterization Using MODIS Cloud Products , 2004 .

[9]  Christopher D. Barnet,et al.  Retrieval of atmospheric and surface parameters from AIRS/AMSU/HSB data in the presence of clouds , 2003, IEEE Trans. Geosci. Remote. Sens..

[10]  E. Brin,et al.  Improving forecast skill by assimilation of quality‐controlled AIRS temperature retrievals under partially cloudy conditions , 2008 .

[11]  Kozo Okamoto,et al.  Assimilation of SSM/I Radiances in the NCEP Global Data Assimilation System , 2006 .

[12]  A practical approach for the assimilation of cloudy infrared radiances and its evaluation using airs simulated observations , 2007 .

[13]  C. Cardinali.  Monitoring the observation impact on the short‐range forecast , 2009 .

[14]  J. Eyre,et al.  The assimilation of cloud‐affected infrared satellite radiances for numerical weather prediction , 2008 .

[15]  William L. Smith,et al.  An Improved Method for Calculating Tropospheric Temperature and Moisture from Satellite Radiometer Measurements , 1968 .

[16]  W. Menzel,et al.  Discriminating clear sky from clouds with MODIS , 1998 .

[17]  William L. Smith,et al.  Extraction of Profile Information from Cloud Contaminated Radiances. Appendixes 2 , 2003 .

[18]  A. P. McNally,et al.  A note on the occurrence of cloud in meteorologically sensitive areas and the implications for advanced infrared sounders , 2002 .

[19]  Christopher K. Wikle,et al.  Atmospheric Modeling, Data Assimilation, and Predictability , 2005, Technometrics.

[20]  Jun Li,et al.  The impact of AIRS atmospheric temperature and moisture profiles on hurricane forecasts: Ike (2008) and Irene (2011) , 2015, Advances in Atmospheric Sciences.

[21]  Steven Platnick,et al.  Retrieval of semitransparent ice cloud optical thickness from atmospheric infrared sounder (AIRS) measurements , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[22]  R. Eresmaa.  Imager‐assisted cloud detection for assimilation of Infrared Atmospheric Sounding Interferometer radiances , 2014 .

[23]  Jun Li,et al.  An Improvement in Forecasting Rapid Intensification of Typhoon Sinlaku (2008) Using Clear-Sky Full Spatial Resolution Advanced IR Soundings , 2010 .

[24]  Peter Bauer,et al.  Lessons learnt from the operational 1D + 4D‐Var assimilation of rain‐ and cloud‐affected SSM/I observations at ECMWF , 2008 .

[25]  P. Bauer,et al.  619 Direct 4 D-Var assimilation of all-sky radiances . Part II : Assessment , 2010 .

[26]  A. Mcnally,et al.  A cloud detection algorithm for high‐spectral‐resolution infrared sounders , 2003 .

[27]  P. Bauer,et al.  618 Direct 4 D-Var assimilation of all-sky radiances . Part I : Implementation , 2010 .

[28]  W. Paul Menzel,et al.  Variational Retrieval of Cloud Parameters from GOES Sounder Longwave Cloudy Radiance Measurements , 2001 .

[29]  B. Macpherson,et al.  The Impact of MOPS Moisture Data in the U.K. Meteorological Office Mesoscale Data Assimilation Scheme , 1996 .

[30]  Peter N. Francis,et al.  Variational assimilation of cloud fraction in the operational Met Office Unified Model , 2011 .

[31]  Richard A. Anthes,et al.  Radio occultation observations as anchor observations in numerical weather prediction models and associated reduction of bias corrections in microwave and infrared satellite observations , 2014 .

[32]  Peter Bauer,et al.  Assimilating Satellite Observations of Clouds and Precipitation into NWP Models , 2011 .

[33]  Peter Bauer,et al.  Observation errors in all‐sky data assimilation , 2011 .

[34]  Barry E. Schwartz,et al.  An Hourly Assimilation–Forecast Cycle: The RUC , 2004 .

[35]  Jun Li,et al.  Improved hurricane track and intensity forecast using single field‐of‐view advanced IR sounding measurements , 2009 .

[36]  Timothy J. Schmit,et al.  Assimilation of thermodynamic information from advanced infrared sounders under partially cloudy skies for regional NWP , 2015 .

[37]  William L. Smith,et al.  Apperception of Clouds in AIRS Data , 2005 .

[38]  X. Zou,et al.  Evaluating Added Benefits of Assimilating GOES Imager Radiance Data in GSI for Coastal QPFs , 2013 .

[39]  Jun Li,et al.  Microwave Sounder Cloud Detection Using a Collocated High-Resolution Imager and Its Impact on Radiance Assimilation in Tropical Cyclone Forecasts , 2016 .

[40]  Peter Bauer,et al.  Multiple‐scattering microwave radiative transfer for data assimilation applications , 2006 .

[41]  W. Paul Menzel,et al.  Global Soundings of the Atmosphere from ATOVS Measurements: The Algorithm and Validation , 2000 .

[42]  J Li,et al.  Retrieval of atmospheric profiles from satellite sounder measurements by use of the discrepancy principle. , 1999, Applied optics.

[43]  Massimo Bonavita,et al.  The Role of Satellite Data in the Forecasting of Hurricane Sandy , 2014 .

[44]  Moustafa T. Chahine,et al.  Improving Global Analysis and Forecasting with AIRS , 2006 .

[45]  P. Bauer,et al.  Satellite cloud and precipitation assimilation at operational NWP centres , 2011 .

[46]  Jun Li,et al.  Derivation of global hyperspectral resolution surface emissivity spectra from advanced infrared sounder radiance measurements , 2008 .

[47]  Vincent Guidard,et al.  Assimilation of AIRS Radiances Affected by Mid- to Low-Level Clouds , 2009 .

[48]  Christopher D. Barnet,et al.  Retrieval of Atmospheric and Surface Parameters from AIRS/AMSU/HSB Data Under Cloudy Conditions , 2002 .

[49]  R. Daley.  Atmospheric Data Analysis , 1991 .

[50]  Ronald M. Errico,et al.  Issues Regarding the Assimilation of Cloud and Precipitation Data , 2007 .

[51]  Gary J. Jedlovec,et al.  The impact of atmospheric infrared sounder (AIRS) profiles on short-term weather forecasts , 2007, SPIE Defense + Commercial Sensing.

[52]  Jason A. Otkin,et al.  Clear and cloudy sky infrared brightness temperature assimilation using an ensemble Kalman filter , 2010 .

[53]  P. Bauer,et al.  487 Implementation of 1 D + 4 D-Var Assimilation of Precipitation Affected Microwave Radiances at ECMWF , Part I : 1 D-Var , 2006 .

[54]  John A. Knaff,et al.  Assimilating AMSU-A Radiances in the TC Core Area with NOAA Operational HWRF (2011) and a Hybrid Data Assimilation System: Danielle (2010) , 2013 .

[55]  P. Bauer,et al.  Variational retrieval of temperature and humidity profiles using rain rates versus microwave brightness temperatures , 2004 .

[56]  G. Evensen.  Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .

[57]  Timothy J. Schmit,et al.  Advanced infrared sounder subpixel cloud detection with imagers and its impact on radiance assimilation in NWP , 2014 .

[58]  Niels Bormann,et al.  Evaluation and assimilation of ATMS data in the ECMWF system , 2013 .

[59]  W. Paul Menzel,et al.  Optimal cloud-clearing for AIRS radiances using MODIS , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[60]  Peter Bauer,et al.  Implementation of 1D+4D‐Var assimilation of precipitation‐affected microwave radiances at ECMWF. II: 4D‐Var , 2006 .

[61]  S. Benjamin,et al.  ASSIMILATION OF SURFACE CLOUD , VISIBILITY , AND CURRENT WEATHER OBSERVATIONS IN THE RUC , 2003 .

[62]  Daniel K. Zhou,et al.  Physical retrieval of surface emissivity spectrum from hyperspectral infrared radiances , 2007 .

[63]  Peter Bauer,et al.  488 Implementation of 1 D + 4 D-Var Assimilation of Precipitation Affected Microwave Radiances at ECMWF , Part II : 4 D-Var , 2006 .

[64]  W. Menzel,et al.  Four Years of Global Cirrus Cloud Statistics Using HIRS, Revised , 1994 .

[65]  Jun Li,et al.  Improved hurricane track and intensity forecast using single field-of-view advanced IR sounding measurements , 2009 .