Cooperative Institute for Research in the Atmosphere

About: Cooperative Institute for Research in the Atmosphere is a based out in . It is known for research contribution in the topics: Snow & Data assimilation. The organization has 332 authors who have published 997 publications receiving 38835 citations. The organization is also known as: CIRA.

Development of a hybrid variational-ensemble data assimilation technique for observed lightning tested in a mesoscale model

Abstract: . Lightning measurements from the Geostationary Lightning Mapper (GLM) that will be aboard the Geostationary Operational Environmental Satellite – R Series will bring new information that can have the potential for improving the initialization of numerical weather prediction models by assisting in the detection of clouds and convection through data assimilation. In this study we focus on investigating the utility of lightning observations in mesoscale and regional applications suitable for current operational environments, in which convection cannot be explicitly resolved. Therefore, we examine the impact of lightning observations on storm environment. Preliminary steps in developing a lightning data assimilation capability suitable for mesoscale modeling are presented in this paper. World Wide Lightning Location Network (WWLLN) data was utilized as a proxy for GLM measurements and was assimilated with the Maximum Likelihood Ensemble Filter, interfaced with the Nonhydrostatic Mesoscale Model core of the Weather Research and Forecasting system (WRF-NMM). In order to test this methodology, regional data assimilation experiments were conducted. Results indicate that lightning data assimilation had a positive impact on the following: information content, influencing several dynamical variables in the model (e.g., moisture, temperature, and winds), and improving initial conditions during several data assimilation cycles. However, the 6 h forecast after the assimilation did not show a clear improvement in terms of root mean square (RMS) errors.

Covariation of Airborne Biogenic Tracers (CO2, COS, and CO) Supports Stronger Than Expected Growing Season Photosynthetic Uptake in the Southeastern US

Abstract: The ACT-America Earth Venture mission conducted five airborne campaigns across four seasons from 2016-2019, to study the transport and fluxes of Greenhouse gases across the eastern United States (U...

Stokes parameter analysis of a packet of turbulence‐generating gravity waves

Abstract: [1] Stokes parameter analysis for small-scale gravity waves was carried out from a set of aircraft observational data. The goal is to understand the polarization properties associated with gravity waves when turbulence is generated so that enough physical knowledge can be gained about the interaction between the two. A wavelet cross-spectrum technique is introduced into the traditional Stokes parameter analysis. From this analysis it is shown that small-scale gravity waves possess distinctive polarization signatures. Further extension of the Stokes parameter analysis by a wave-averaging method is also proposed. The analysis using this method indicates that the turbulence production is closely related to an enhanced level of polarization and coherency in the two components of the horizontal wind in the gravity waves and that the turbulence surge is accompanied by a tendency for an instantaneous reduction of polarization and abrupt shift of horizontal wave vector of the progenitor gravity waves. These findings may be useful in the prediction of the occurrence of turbulence in association with gravity wave activities in the atmosphere.