Data assimilation and predictability of tropical cyclones

Fuqing Zhang

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Hurricanes are one of deadliest and costliest natural hazards, with total losses topping $100 billion for the first time in 2005 (Pielke et al., 2008). Accurate predictions of hurricanes, therefore, have enormous economic value, and demand is increasing for more accurate forecasts with longer lead times and more precise warnings to minimize losses due to hurricane preparation and evacuation as well as to destruction. Over the past decade, significant progress has been made in short-range (up to five days) track forecasts of tropical cyclones. The current day average 48-h forecast position is as accurate as a 24-h track forecast 10 yr ago (Franklin, 2004).

Original languageEnglish (US)
Title of host publicationAdvanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Predictions
PublisherSpringer Netherlands
Pages331-360
Number of pages30
ISBN (Electronic)9789402408966
ISBN (Print)9789402408942
DOIs
StatePublished - Jan 1 2016

Fingerprint

tropical cyclone
data assimilation
hurricane
natural hazard
forecast
prediction
economics
loss

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)
  • Environmental Science(all)

Cite this

Zhang, F. (2016). Data assimilation and predictability of tropical cyclones. In Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Predictions (pp. 331-360). Springer Netherlands. https://doi.org/10.5822/978-94-024-0896-6_12
Zhang, Fuqing. / Data assimilation and predictability of tropical cyclones. Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Predictions. Springer Netherlands, 2016. pp. 331-360
@inbook{9c401e5ace4d40408ab05bd08f96cb6f,
title = "Data assimilation and predictability of tropical cyclones",
abstract = "Hurricanes are one of deadliest and costliest natural hazards, with total losses topping $100 billion for the first time in 2005 (Pielke et al., 2008). Accurate predictions of hurricanes, therefore, have enormous economic value, and demand is increasing for more accurate forecasts with longer lead times and more precise warnings to minimize losses due to hurricane preparation and evacuation as well as to destruction. Over the past decade, significant progress has been made in short-range (up to five days) track forecasts of tropical cyclones. The current day average 48-h forecast position is as accurate as a 24-h track forecast 10 yr ago (Franklin, 2004).",
author = "Fuqing Zhang",
year = "2016",
month = "1",
day = "1",
doi = "10.5822/978-94-024-0896-6_12",
language = "English (US)",
isbn = "9789402408942",
pages = "331--360",
booktitle = "Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Predictions",
publisher = "Springer Netherlands",
address = "Netherlands",

}

Zhang, F 2016, Data assimilation and predictability of tropical cyclones. in Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Predictions. Springer Netherlands, pp. 331-360. https://doi.org/10.5822/978-94-024-0896-6_12

Data assimilation and predictability of tropical cyclones. / Zhang, Fuqing.

Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Predictions. Springer Netherlands, 2016. p. 331-360.

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Data assimilation and predictability of tropical cyclones

AU - Zhang, Fuqing

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Hurricanes are one of deadliest and costliest natural hazards, with total losses topping $100 billion for the first time in 2005 (Pielke et al., 2008). Accurate predictions of hurricanes, therefore, have enormous economic value, and demand is increasing for more accurate forecasts with longer lead times and more precise warnings to minimize losses due to hurricane preparation and evacuation as well as to destruction. Over the past decade, significant progress has been made in short-range (up to five days) track forecasts of tropical cyclones. The current day average 48-h forecast position is as accurate as a 24-h track forecast 10 yr ago (Franklin, 2004).

AB - Hurricanes are one of deadliest and costliest natural hazards, with total losses topping $100 billion for the first time in 2005 (Pielke et al., 2008). Accurate predictions of hurricanes, therefore, have enormous economic value, and demand is increasing for more accurate forecasts with longer lead times and more precise warnings to minimize losses due to hurricane preparation and evacuation as well as to destruction. Over the past decade, significant progress has been made in short-range (up to five days) track forecasts of tropical cyclones. The current day average 48-h forecast position is as accurate as a 24-h track forecast 10 yr ago (Franklin, 2004).

UR - http://www.scopus.com/inward/record.url?scp=85018044621&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85018044621&partnerID=8YFLogxK

U2 - 10.5822/978-94-024-0896-6_12

DO - 10.5822/978-94-024-0896-6_12

M3 - Chapter

AN - SCOPUS:85018044621

SN - 9789402408942

SP - 331

EP - 360

BT - Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Predictions

PB - Springer Netherlands

ER -

Zhang F. Data assimilation and predictability of tropical cyclones. In Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Predictions. Springer Netherlands. 2016. p. 331-360 https://doi.org/10.5822/978-94-024-0896-6_12