Relative Short-Range Forecast Impact from Aircraft, Profiler, Radiosonde, VAD, GPS-PW, METAR, and Mesonet Observations via the RUC Hourly Assimilation Cycle

Benjamin, Stanley G.; Jamison, Brian D.; Moninger, William R.; Sahm, Susan R.; Schwartz, Barry E.; Schlatter, Thomas W.
April 2010
Monthly Weather Review;Apr2010, Vol. 138 Issue 4, p1319
Academic Journal
An assessment is presented on the relative forecast impact on the performance of a numerical weather prediction model from eight different observation data types: aircraft, profiler, radiosonde, velocity azimuth display (VAD), GPS-derived precipitable water, aviation routine weather report (METAR; surface), surface mesonet, and satellite-based atmospheric motion vectors. A series of observation sensitivity experiments was conducted using the Rapid Update Cycle (RUC) model/assimilation system in which various data sources were denied to assess the relative importance of the different data types for short-range (3–12 h) wind, temperature, and relative humidity forecasts at different vertical levels and near the surface. These experiments were conducted for two 10-day periods, one in November–December 2006 and one in August 2007. These experiments show positive short-range forecast impacts from most of the contributors to the heterogeneous observing system over the RUC domain. In particular, aircraft observations had the largest overall impact for forecasts initialized 3–6 h before 0000 or 1200 UTC, considered over the full depth (1000–100 hPa), followed by radiosonde observations, even though the latter are available only every 12 h. Profiler data (including at a hypothetical 8-km depth), GPS-precipitable water estimates, and surface observations also led to significant improvements in short-range forecast skill.


Related Articles

  • A comparison of precipitable water vapor estimates by an NWP simulation and GPS observations. Xiaohua Yang; Sass, Bent H. // Journal of Applied Meteorology;Jul99, Vol. 38 Issue 7, p941 

    Compares the precipitable water (PW) vapor estimates by a numerical weather prediction simulation and Global Positioning System (GPS) observations. Model data from the High Resolution Limited Area Model reanalyses and forecasts on double nested grids; Use of the GPS-derived PW data, with high...

  • 4D tomographic reconstruction of the tropospheric wet refractivity using the concept of virtual reference station, case study: northwest of Iran. Adavi, Zohre; Mashhadi-Hossainali, Masoud // Meteorology & Atmospheric Physics;Nov2014, Vol. 126 Issue 3/4, p193 

    Iran enjoys a variety of climatological conditions. Moreover, numerical weather prediction (NWP) models are not assimilated with the meteorological data in Iran, the country suffering from poor spatial and temporal resolution of radiosonde measurements. These facts make modeling of troposphere...

  • Column water vapour: an intertechnique comparison of estimation methods in Estonia. Keernik, Hannes; Ohvril, Hanno; Jakobson, Erko; Rannat, Kalev; Luhamaa, Andres // Proceedings of the Estonian Academy of Sciences;2014, Vol. 63 Issue 1, p37 

    Despite different techniques for the estimation of column integrated water vapour (precipitable water, PW) no method has yet been identified as the most accurate or the reference one. In this work we report intercomparisons between four PW estimation methods - radiosonde, Aerosol Robotic Network...

  • Precipitable Water Vapor Estimates in the Australian Region from Ground-Based GPS Observations. Choy, Suelynn; Wang, Chuan-Sheng; Yeh, Ta-Kang; Dawson, John; Jia, Minghai; Kuleshov, Yuriy // Advances in Meteorology;4/8/2015, Vol. 2015, p1 

    We present a comparison of atmospheric precipitable water vapor (PWV) derived from ground-based global positioning system (GPS) receiver with traditional radiosonde measurement and very long baseline interferometry (VLBI) technique for a five-year period (2008–2012) using Australian GPS...

  • Diseño y construcción de un globo meteorológico cautivo instrumentado. Gutiérrez L., Wilfrido; García E., Manuel; Magaña R., Victor O.; Escalante G., Jorge A. // Ingeniería y Ciencia;jun2007, Vol. 3 Issue 5, p29 

    Observations of the planetary boundary layer are essential for in numerical weather prediction. However, such observations are usually expensive, which makes them inaccessible for a majority of projects. Therefore, the need of less expensive instruments for boundary layer measurements has led to...

  • Accuracy and Variability of GPS Tropospheric Delay Measurements of Water Vapor in the Western Mediterranean. Haase, Jennifer; Ge, Maorong; Vedel, Henrik; Calais, Eric // Journal of Applied Meteorology;Nov2003, Vol. 42 Issue 11, p1547 

    As a preliminary step for assessing the impact of global positioning system (GPS) refractive delay data in numerical weather prediction (NWP) models, the GPS zenith tropospheric delays (ZTDs) are analyzed from 51 permanent GPS sites in the western Mediterranean. The objectives are to estimate...

  • The Utilization of Statistical Properties of Satellite-Derived Atmospheric Motion Vectors to Derive Quality Indicators. Holmlund, Kenneth // Weather & Forecasting;Dec98, Vol. 13 Issue 4, p1093 

    The extraction of atmospheric motion vectors (AMVs) from cloud and moisture features from successive geostationary satellite images is an established and important data source for numerical weather prediction (NWP). So far the extraction of AMVs has been confined to the main synoptic times only,...

  • A Short-Range to Early-Medium-Range Ensemble Prediction System for the European Area. Hersbach, H.; Mureau, R.; Opsteegh, J. D.; Barkmeijer, J. // Monthly Weather Review;Oct2000, Vol. 128 Issue 10, p3501 

    An ensemble prediction system, especially designed for the short to early-medium range for the European domain, is presented. The initial perturbations of each ensemble are based on singular vectors that maximize the 3-day total energy error growth above the European area and the northern...

  • The Impacts of AMMA Radiosonde Data on the French Global Assimilation and Forecast System. Faccani, C.; Rabier, F.; Fourrié, N.; Agusti-Panareda, A.; Karbou, F.; Moll, P.; Lafore, J.-P.; Nuret, M.; Hdidou, F.; Bock, O. // Weather & Forecasting;Oct2009, Vol. 24 Issue 5, p1268 

    The high vertical density soundings recorded during the 2006 African Monsoon Multidisciplinary Analysis (AMMA) campaign are assimilated into the French numerical weather prediction Action de Recherche Petite Echelle Grande Echelle (ARPEGE) four-dimensional variational data assimilation (4DVAR)...


Read the Article


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

Try another library?
Sign out of this library

Other Topics