TITLE

Evaluation of a Numerical Weather Forecast Model Using Boundary Layer Cloud-Top Temperature Retrieved from AVHRR

AUTHOR(S)
Mathieu, A.; Lahellec, A.; Weill, A.
PUB. DATE
April 2004
SOURCE
Monthly Weather Review;Apr2004, Vol. 132 Issue 4, p915
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This study concerns the evaluation of the boundary layer (BL) subgrid parameterization of a numerical weather forecast model on the synoptic scale. The method presented aims at separating the two possible origins of model defficiencies in representing a cloud-topped boundary layer: (i) large-scale data assimilation issues, and (ii) BL parameterization. The method combines two sources of data: model analyzed fields from the SEMAPHORE field experiment, and the Advanced Very High Resolution Radiometer (AVHRR) dataset from the NOAA-11 and -12 Satellite. The application focuses on an anticyclonic period during field experiment (10–17 November 1993), for which a special version of ARPEGE—The Météo-France Numerical Weather Prediction model—is used to analyze the data from the field experiment. In the proposed method, the boundary layer is globally characterized by its height which is converted to an inversion layer temperature in the model. Low-level cloud-top temperatures of optically thick clouds are inferred from the satellite radiometers. The model and satellite-retrieved temperature fields are two independent fields that are used together to select regions for which spatial variations of boundary layer cloud-top temperature are approximately in phase. These regions are assumed to have correctly assimilated the large-scale data fields. It is found that they cover a significant part of the analyzed synoptic situations. In the selected regions, the two temperature fields can be examined to evaluate BL schemes and obtain insight on the physical processes responsible for cloudiness.
ACCESSION #
12556348

 

Related Articles

  • Cloud Particle Phase Determination with the AVHRR. Key, Jeffrey R.; Intrieri, Janet M. // Journal of Applied Meteorology;Oct2000, Vol. 39 Issue 10, p1797 

    Discusses the physical principles underlying phase determination using the advanced very high resolution radiometer (AVHRR) satellite sensor. Determination of cloud particle phase for the retrieval of other cloud properties; Accuracy in identifying the phase of homogeneous water and ice clouds.

  • FIRST-LIGHT IMAGERY FROM SUOMI NPP VIIRS. HILLGER, DONALD; KOPP, THOMAS; LEE, THOMAS; LINDSEY, DANIEL; SEAMAN, CURTIS; MILLER, STEVEN; SOLBRIG, JEREMY; KIDDER, STANLEY; BACHMEIER, SCOTT; JASMIN, TOMMY; RINK, TOM // Bulletin of the American Meteorological Society;Jul2013, Vol. 94 Issue 7, p1019 

    The Suomi National Polar-Orbiting Partnership (NPP) satellite was launched on 28 October 2011, heralding the next generation of operational U.S. polar-orbiting satellites. It carries the Visible-Infrared Imaging Radiometer Suite (VIIRS), a 22-band visible infrared sensor that combines many of...

  • Propagation and the Vertical Structure of the Madden-Julian Oscillation. Sperber, Kenneth R. // Monthly Weather Review;Dec2003, Vol. 131 Issue 12, p3018 

    Describes the space-time structure of the Madden-Julian oscillation. National Centers for Environmental Prediction-National Center for Atmospheric Research reanalysis; Advanced Very High Resolution Radiometer outgoing longwave radiation; Observed sea surface temperature; Climate Prediction...

  • Global Daytime Distribution of Overlapping Cirrus Cloud from NOAA’s Advanced Very High Resolution Radiometer. Heidinger, Andrew K.; Pavolonis, Michael J. // Journal of Climate;Nov2005, Vol. 18 Issue 22, p4772 

    Data from the National Oceanic and Atmospheric Administration’s (NOAA’s) Advanced Very High Resolution Radiometer (AVHRR) instrument are used to provide the mean July and January global daytime distributions of multilayer cloud, where multilayer cloud is defined as cirrus...

  • A Physical Method for the Calibration of the AVHRR/3 Thermal IR Channels 1: The Prelaunch Calibration Data. Mittaz, Jonathan P. D.; Harris, Andrew R.; Sullivan, Jerry T. // Journal of Atmospheric & Oceanic Technology;May2009, Vol. 26 Issue 5, p996 

    The absolute accuracy of the thermal infrared (IR) radiances and brightness temperatures derived from the Advanced Very High Resolution Radiometer (AVHRR) is still unknown, with major sources of error not yet fully understood. This is despite the fact that data from the AVHRR IR channels are...

  • The Impact of Global Warming on Marine Boundary Layer Clouds over the Eastern Pacific--A Regional Model Study. Lauer, Axel; Hamilton, Kevin; Yuqing Wang; Phillips, Vaughan T. J.; Bennartz, Ralf // Journal of Climate;Nov2010, Vol. 23 Issue 21, p5844 

    Cloud simulations and cloud--climate feedbacks in the tropical and subtropical eastern Pacific region in 16 state-of-the-art coupled global climate models (GCMs) and in the International Pacific Research Center (IPRC) Regional Atmospheric Model (iRAM) are examined. The authors find that the...

  • Arctic Surface, Cloud, and Radiation Properties Based on the AVHRR Polar Pathfinder Dataset. Part II: Recent Trends. Wang, Xuanji; Key, Jeffrey R. // Journal of Climate;Jul2005, Vol. 18 Issue 14, p2575 

    Over the past 20 yr, some Arctic surface and cloud properties have changed significantly. Results of an analysis of satellite data show that the Arctic has warmed and become cloudier in spring and summer but has cooled and become less cloudy in winter. The annual rate of surface temperature...

  • Arctic Surface, Cloud, and Radiation Properties Based on the AVHRR Polar Pathfinder Dataset. Part I: Spatial and Temporal Characteristics. Xuanji Wang; Key, Jeffrey R. // Journal of Climate;Jul2005, Vol. 18 Issue 14, p2558 

    With broad spectral coverage and high spatial and temporal resolutions, satellite sensors can provide the data needed for the analysis of spatial and temporal variations of climate parameters in data-sparse regions such as the Arctic and Antarctic. The newly available Advanced Very High...

  • NASA MODIS Previews NPOESS VIIRS Capabilities. Lee, Thomas F.; Miller, Steven D.; Schueler, Carl; Miller, Shawn // Weather & Forecasting;Aug2006, Vol. 21 Issue 4, p649 

    The Visible/Infrared Imager Radiometer Suite (VIIRS), scheduled to fly on the satellites of the National Polar-orbiting Operational Environmental Satellite System, will combine the missions of the Advanced Very High Resolution Radiometer (AVHRR), which flies on current National Oceanic and...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics