Title
Position correction in dust storm forecasting using LOTOS-EUROS v2.1: Grid-distorted data assimilation v1.0
Author
Jin, J.
Segers, A.
Lin, H.X.
Henzing, B.
Wang, X.
Heemink, A.
Liao, H.
Publication year
2021
Abstract
When calibrating simulations of dust clouds, both the intensity and the position are important. Intensity er rors arise mainly from uncertain emission and sedimenta tion strengths, while position errors are attributed either to imperfect emission timing or to uncertainties in the trans port. Though many studies have been conducted on the cal ibration or correction of dust simulations, most of these fo cus on intensity solely and leave the position errors mainly unchanged. In this paper, a grid-distorted data assimila tion, which consists of an image-morphing method and an ensemble-based variational assimilation, is designed for re aligning a simulated dust plume to correct the position error. This newly developed grid-distorted data assimilation has been applied to a dust storm event in May 2017 over East Asia. Results have been compared for three configurations: a traditional assimilation configuration that focuses solely on intensity correction, a grid-distorted data assimilation that fo cuses on position correction only and the hybrid assimilation that combines these two. For the evaluated case, the posi tion misfit in the simulations is shown to be dominant in the results. The traditional emission inversion only slightly im proves the dust simulation, while the grid-distorted data as similation effectively improves the dust simulation and fore casting. The hybrid assimilation that corrects both position and intensity of the dust load provides the best initial condi tion for forecasting of dust concentrations.
Subject
Correction
Data assimilation
Dust storm
Forecasting method
Instrumentation
Environment & Sustainability
Urbanisation
To reference this document use:
http://resolver.tudelft.nl/uuid:06e3cdab-fa2c-46e3-8c9a-d0f1826bc922
DOI
https://doi.org/10.5194/gmd-14-5607-2021
TNO identifier
967750
Publisher
Copernicus GmbH
ISSN
1991-959X
Source
Geoscientific Model Development, 14 (14), 5607-5622
Document type
article