Regression coefficients of parametrisation of function of natural atmospheric variability and reparametrization on latitudinal gradients software

Abstract: 1. Regression coefficients of a parametrisation of the natural atmospheric variability as function of distance and time separation for the atmospheric trace gases: BrO, BrONO2, CH3CL, HNO3, N2O5, CCl4, CFC11, CFC113, CFC12, CH4, ClO, ClONO2, CO, CO2, H2O, HBr, HCl, HF, HNO4, HO2, HOBr, HOCl, N2O, NO, NO2, NO3, O3, OH, and temperature, calculated on BASCOE model data for ESA VACUUM'R Project. 2. Software for reparametrisation of natural atmospheric variability on latitudinal gradients. The software takes as input the species name (among 30 available), the distance and time mismatch chosen, the latitude band, the value of latitudinal gradients of user's data and the height. As an output the user obtains a value of the natural variability of the gas at altitude and latitude band given, for the chosen distance/time mismatch. TechnicalRemarks: Regression coefficients archive: The name of the file indicates if the coefficients stored are for natural variability as function of time or distance. The variability is expressed in percents. The coefficients are given from 90S to 90N in 18 latitude bands of 10 degree width, and for 46 altitudes from 15 to 60 km. Reparametrisation software archive: This is an IDL source code, and auxiliary data are in idlsave format. If a validation study is perfomed in latitude domain larger than 10 degrees, the values in correspoding 10-degree bands should be added quadratically.

Cite this as

Laeng, Alexandra (2023). Dataset: Regression coefficients of parametrisation of function of natural atmospheric variability and reparametrization on latitudinal gradients software. https://doi.org/10.35097/1494

DOI retrieved: 2023

Additional Info

Field Value
Imported on August 4, 2023
Last update August 4, 2023
License CC BY 4.0 Attribution
Source https://doi.org/10.35097/1494
Author Laeng, Alexandra
Source Creation 2023
Publishers
Karlsruhe Institute of Technology
Production Year 2021
Publication Year 2023
Subject Areas
Name: Geological Science