Does ERA5 Mark a New Era for Resolving the Tropical Cyclone Environment?

Author:

Slocum Christopher J.1ORCID,Razin Muhammad Naufal2,Knaff John A.1,Stow Justin P.3

Affiliation:

1. a NOAA Center for Satellite Research and Applications, Fort Collins, Colorado

2. b Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado

3. c Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania

Abstract

Abstract The synoptic environment around tropical cyclones plays a significant role in vortex evolution. To capture the environment, the operational and research communities calculate diagnostic quantities. To aid with applications and research, the Tropical Cyclone Precipitation, Infrared, Microwave, and Environmental Dataset (TC PRIMED) combines disparate data sources. A key part of TC PRIMED is the environmental context. Often, environmental diagnostics come from multiple sources. However, TC PRIMED uses the European Centre for Medium-Range Weather Forecasts fifth-generation reanalysis (ERA5) product to provide a more complete representation of the storm environment from a single source. Reanalysis products usually poorly resolve tropical cyclones and their surrounding environment. To understand the uncertainty of large-scale diagnostics, ERA5 is compared to the Statistical Hurricane Intensity Prediction Scheme developmental dataset and the National Oceanic and Atmospheric Administration Gulfstream IV-SP dropwindsondes. This analysis highlights biases in the ERA5 environmental diagnostic quantities. Thermodynamic fields show the largest biases. The boundary layer exhibits a cold temperature bias that limits the amount of convective instability; also, the upper troposphere contains temperature biases and shows a high relative humidity bias. However, the upper-troposphere large-scale kinematic fields and derived metrics are low biased. In the lower troposphere, the temperature gradient and advection calculated from the thermal wind suggest that the low-level wind field is not representative of the observed distribution. These diagnostics comparisons provide uncertainty so that users of TC PRIMED can assess the implications for specific research and operational applications.

Funder

National Oceanic and Atmospheric Administration

National Science Foundation

Publisher

American Meteorological Society

Subject

Atmospheric Science

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