Abstract The European Space Agency Aeolus mission launched the first‐of‐its‐kind space‐borne Doppler wind lidar in August 2018. Level‐2B (L2B) Horizontal Line‐of‐Sight (HLOS) observations are integrated into NOAA Finite‐Volume Cubed‐Sphere Global Forecast System (FV3GFS). Components of data assimilation system optimized to increase forecast impact from these observations. Three observing‐system experiments (OSEs) performed using L2B HLOS winds for period 2–September 16, 2019: a baseline...

The Rossby wave source ( RWS ) and the corresponding extratropical response to tropical convection associated with different phases of Madden–Julian Oscillation MJO is investigated dynamical core a climate model. initial flow specified correspond boreal winter climatological an imposed heating that derived from observed precipitation for all eight phases. One key question addressed here why does train depart subtropics at longitude well east . For phases, it found over North Pacific America...

Abstract A method to apply an empirical feature track correction (FTC) in a new observation operator for atmospheric motion vectors (AMVs) is proposed. The FTC AMV determines the background estimate of observed vector wind, adjusting profile by determining optimal height adjustment, averaging over layer thickness, and applying linear averaged wind. tested context collocation study between AMVs projected onto collocated Aeolus horizontal line‐of‐sight (HLOS) HLOS wind profiles. This prototype...

Abstract. The European Space Agency Aeolus mission launched the first of its kind spaceborne Doppler wind lidar in August 2018. To optimize assimilation Level-2B (L2B) Horizontal Line-of-Sight (HLOS) winds, systematic differences (referred as biases hereafter) between observations and numerical weather prediction (NWP) background winds should be removed. Total least squares (TLS) regression is used to estimate speed-dependent HLOS (L2B10) National Oceanic Atmospheric Administration (NOAA)...

Northern Hemisphere winter storm tracks and their relation to weather are investigated using NCEP CFSR data. Storm described by isentropic PV maxima within a Lagrangian framework; these correspond well with those in previous studies. The current diagnostics focus on strong-storm tracks, which comprise storms that achieve maximum exceeding the mean value one standard deviation. Large increases diabatic heating related deep convection occur where most intense. cyclogenesis pattern shows strong...

Accurate atmospheric 3D wind observations are one of the top priorities for global scientific community. To address this requirement, and to support researchers’ needs acquire analyze data from multiple sources, System Analysis Wind Collocations (SAWC) was jointly developed by NOAA/NESDIS/STAR, UMD/ESSIC/CISESS, UW-Madison/CIMSS. SAWC encompasses following: a multi-year archive winds observed Aeolus, sondes, aircraft, stratospheric superpressure balloons, satellite-derived motion vectors,...

Abstract. The need for highly accurate atmospheric wind observations is a high priority in the science community, particularly numerical weather prediction (NWP). To address this need, study leverages Aeolus lidar level-2B data provided by European Space Agency (ESA) as potential comparison standard to better characterize motion vector (AMV) bias and uncertainty. AMV products from geostationary (GEO) low Earth orbiting (LEO) satellites are compared with reprocessed horizontal line-of-sight...

Abstract. The European Space Agency Aeolus mission launched a first-of-its-kind spaceborne Doppler wind lidar in August 2018. To optimize the assimilation of Level-2B (B10) horizontal line-of-sight (HLOS) winds, significant systematic differences between observations and numerical weather prediction (NWP) background winds should be removed. Total least squares (TLS) regression is used to estimate speed-dependent HLOS National Oceanic Atmospheric Administration (NOAA) Finite-Volume...

Abstract Atmospheric motion vector (AMV) winds have positive impacts in operational numerical weather prediction (NWP) systems. These might be improved with better treatment of the following error characteristics AMVs. First, AMVs may wind errors due to height assignment errors. Second, additional wind‐speed biases addition those Third, are representative a possibly thick atmospheric layer, not single level. Previous work proposed variational feature track correction (FTC) method which an...

Abstract This article examines to what extent the NCEP Climate Forecast System (CFS) weeks 3–4 reforecasts reproduce CFS Reanalysis (CFSR) storm-track properties, and if so, whether behavior can contribute prediction of related winter weather in North America. The storm tracks are described by objectively tracking isentropic potential vorticity (PV) anomalies for two periods (base, 1983–2002; validation, 2003–10) assess their value a more realistic forecast mode. Statistically significant...

Abstract Near‐space balloon networks have the potential to improve numerical weather prediction (NWP) through data assimilation (DA) by providing in situ observations an otherwise data‐sparse stratosphere. This study investigates prospective value of stratospheric winds NOAA NWP examining Loon quality and conducting a 2‐month observing system experiment (OSE) using NOAA's Finite‐Volume Cubed‐Sphere Global Forecast System. During period (December 2018–January 2019), show good correspondence...

Abstract. The need for highly accurate atmospheric wind observations is a high priority in the science community, and particular numerical weather prediction (NWP). To address this requirement, study leverages Aeolus LIDAR Level-2B data provided by European Space Agency (ESA) to better characterize motion vector (AMV) bias uncertainty, with eventual goal of potentially improving AMV algorithms. products from geostationary (GEO) low-Earth polar orbiting (LEO) satellites are compared...

Accurate atmospheric 3D wind observations are a high priority in the science community. To address this requirement and to support researchers' needs acquire analyze data from multiple sources, System for Analysis of Wind Collocations (SAWC) was jointly developed by NOAA/NESDIS/STAR, UMD/ESSIC/CISESS, UW-Madison/CIMSS. SAWC encompasses multi-year archive global winds observed Aeolus, sondes, aircraft, stratospheric superpressure balloons, satellite-derived motion vectors, archived uniformly...

<p>In this study we propose and test a feature track correction (FTC) observation operator for atmospheric motion vectors (AMVs).  The FTC has four degrees of freedom corresponding to wind speed multiplicative additive corrections (γ δ<em><strong>V</strong></em>), vertical height assignment (<em>h</em>), an estimate the depth layer that contributes AMV...