Spatial evaluation of volcanic ash forecasts using satellite observations

被引:13
|
作者
Harvey, N. J. [1 ]
Dacre, H. F. [1 ]
机构
[1] Univ Reading, Dept Meteorol, POB 243, Reading RG6 6BB, Berks, England
关键词
SOURCE PARAMETERS; CLOUD TRANSPORT; DISPERSION; VERIFICATION; ERUPTION; MODELS; SKILL;
D O I
10.5194/acp-16-861-2016
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The decision to close airspace in the event of a volcanic eruption is based on hazard maps of predicted ash extent. These are produced using output from volcanic ash transport and dispersion (VATD) models. In this paper the fractions skill score has been used for the first time to evaluate the spatial accuracy of VATD simulations relative to satellite retrievals of volcanic ash. This objective measure of skill provides more information than traditional point-by-point metrics, such as success index and Pearson correlation coefficient, as it takes into the account spatial scale over which skill is being assessed. The FSS determines the scale over which a simulation has skill and can differentiate between a "near miss" and a forecast that is badly misplaced. The idealized scenarios presented show that even simulations with considerable displacement errors have useful skill when evaluated over neighbourhood scales of 200-700 (km)(2). This method could be used to compare forecasts produced by different VATDs or using different model parameters, assess the impact of assimilating satellite-retrieved ash data and evaluate VATD forecasts over a long time period.
引用
收藏
页码:861 / 872
页数:12
相关论文
共 50 条
  • [31] Improvements of volcanic ash fall forecasts issued by the Japan Meteorological Agency
    Hasegawa Y.
    Sugai A.
    Hayashi Y.
    Hayashi Y.
    Saito S.
    Shimbori T.
    Journal of Applied Volcanology, 4 (1)
  • [32] A Computationally Efficient Ensemble Filtering Scheme for Quantitative Volcanic Ash Forecasts
    Zidikheri, Meelis J.
    Lucas, Christopher
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2021, 126 (02)
  • [33] Using Satellite Data to Determine Empirical Relationships between Volcanic Ash Source Parameters
    Zidikheri, Meelis J.
    Lucas, Chris
    ATMOSPHERE, 2020, 11 (04)
  • [34] Estimation of optimal dispersion model source parameters using satellite detections of volcanic ash
    Zidikheri, Meelis J.
    Lucas, Christopher
    Potts, Rodney J.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (15) : 8207 - 8232
  • [35] Enhanced Accuracy of Airborne Volcanic Ash Detection Using the GEOKOMPSAT-2A Satellite
    Ahn, Soi
    Jee, Joon-Bum
    Lee, Kyu-Tae
    Oh, Hyun-Jong
    SENSORS, 2021, 21 (04) : 1 - 21
  • [36] A case study of observations of volcanic ash from the Eyjafjallajokull eruption: 2. Airborne and satellite radiative measurements
    Newman, Stuart M.
    Clarisse, Lieven
    Hurtmans, Daniel
    Marenco, Franco
    Johnson, Ben
    Turnbull, Kate
    Havemann, Stephan
    Baran, Anthony J.
    O'Sullivan, Debbie
    Haywood, Jim
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2012, 117
  • [37] Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajokull volcanic eruption
    Fu, Guangliang
    Prata, Fred
    Lin, Hai Xiang
    Heemink, Arnold
    Segers, Arjo
    Lu, Sha
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2017, 17 (02) : 1187 - 1205
  • [38] Volcanic Ash Resuspension in Patagonia: Numerical Simulations and Observations
    Mingari, Leonardo
    Folch, Arnau
    Dominguez, Lucia
    Bonadonna, Costanza
    ATMOSPHERE, 2020, 11 (09)
  • [39] The Analysis of Volcanic-ash-deposition Damage using Spatial-information-based Volcanic Ash Damage Sector and Volcanic Ash Diffusion Simulation of Mt. Aso Volcano Eruption Scenario
    Baek, Won-Kyung
    Kim, Miri
    Han, Hyeon-gyeong
    Jung, Hyung-Sup
    Hwang, Eui-Hong
    Lee, Haseong
    Sun, Jongsun
    Chang, Eun-Chul
    Lee, Moungjin
    KOREAN JOURNAL OF REMOTE SENSING, 2019, 35 (06) : 1221 - 1233
  • [40] A Bayesian Method to Rank Different Model Forecasts of the Same Volcanic Ash Cloud
    Denlinger, Roger P.
    Webley, Peter
    Mastin, Larry G.
    Schwaiger, Hans
    LAGRANGIAN MODELING OF THE ATMOSPHERE, 2012, 200 : 299 - +