Can convective precipitation variability be deduced from the variability in CAPE and CIN? An analysis of global CAPE and CIN variability in present and future climates

The variability of convective precipitation is relevant for its prediction on short and long time scales. On short time scales severe weather events are vital for weather forecasting, on long time scales convection anomalies affect wetness and droughts. Since convective precipitation requires parame...

Full description

Bibliographic Details
Main Author: Riemann-Campe, Kathrin
Format: Thesis
Language:unknown
Published: 2011
Subjects:
Online Access:https://epic.awi.de/id/eprint/48145/
https://hdl.handle.net/10013/epic.ee840bfe-3fbb-4d72-8cc1-dec8a8b5bab1
id ftawi:oai:epic.awi.de:48145
record_format openpolar
spelling ftawi:oai:epic.awi.de:48145 2024-09-15T18:24:24+00:00 Can convective precipitation variability be deduced from the variability in CAPE and CIN? An analysis of global CAPE and CIN variability in present and future climates Riemann-Campe, Kathrin 2011 https://epic.awi.de/id/eprint/48145/ https://hdl.handle.net/10013/epic.ee840bfe-3fbb-4d72-8cc1-dec8a8b5bab1 unknown Riemann-Campe, K. orcid:0000-0002-7733-8427 (2011) Can convective precipitation variability be deduced from the variability in CAPE and CIN? An analysis of global CAPE and CIN variability in present and future climates PhD thesis, University of Hamburg. doi:10.17617/2.1412642 <https://doi.org/10.17617/2.1412642> , hdl:10013/epic.ee840bfe-3fbb-4d72-8cc1-dec8a8b5bab1 EPIC3 Thesis notRev 2011 ftawi 2024-06-24T04:21:00Z The variability of convective precipitation is relevant for its prediction on short and long time scales. On short time scales severe weather events are vital for weather forecasting, on long time scales convection anomalies affect wetness and droughts. Since convective precipitation requires parameterisation in numerical models, CAPE (convective available potential energy) and CIN (convective inhibition) are applied to estimate trends and long-term memory. Their variability is determined in present-day climate (ECMWF reanalysis: 6 hourly during 1979-2001 in T106 trun- cation; ECHAM5/MPI-OM, 20C simulation: 6 hourly during 1902-2001 in T63 truncation) and a possible warmer future scenario (ECHAM5/MPI-OM, A1B scenario: 6 hourly during 2002-2101 in T63 truncation). Future changes in CAPE and CIN reveal similar changes for small, mean and large values. A global pattern is found of increasing values in CAPE and CIN over most regions of the conti- nents and northern hemispheric ocean basins, while decreasing values are found over the Southern Ocean. This pattern changes towards mostly positive trends if CAPE is analysed for large CIN occurring simultaneously. In contrast, the original pattern remains similar if CAPE is investigated for small CIN. Temperature and humidity, which form the basis of CAPE and CIN, show almost entirely higher values in the future. Decreasing values in CAPE and CIN correlate with large scale patterns like the North Atlantic Oscillation (NAO), El Ni ̃ no/Southern Oscillation (ENSO) and the Southern Annular Mode (SAM). Furthermore, a southward shift of the descending branch of the southern hemisphere Hadley Cell in a warmer climate decreases CAPE further. The correlations of CAPE with the above named teleconnections influence the distribution of global memory on long time scales. The influence of ENSO on the memory in CAPE and CIN intensifies in a warmer climate with regards to spread and frequency. Furthermore, the impact of the NAO on CAPE also spreads in terms of location, while the ... Thesis North Atlantic North Atlantic oscillation Southern Ocean Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description The variability of convective precipitation is relevant for its prediction on short and long time scales. On short time scales severe weather events are vital for weather forecasting, on long time scales convection anomalies affect wetness and droughts. Since convective precipitation requires parameterisation in numerical models, CAPE (convective available potential energy) and CIN (convective inhibition) are applied to estimate trends and long-term memory. Their variability is determined in present-day climate (ECMWF reanalysis: 6 hourly during 1979-2001 in T106 trun- cation; ECHAM5/MPI-OM, 20C simulation: 6 hourly during 1902-2001 in T63 truncation) and a possible warmer future scenario (ECHAM5/MPI-OM, A1B scenario: 6 hourly during 2002-2101 in T63 truncation). Future changes in CAPE and CIN reveal similar changes for small, mean and large values. A global pattern is found of increasing values in CAPE and CIN over most regions of the conti- nents and northern hemispheric ocean basins, while decreasing values are found over the Southern Ocean. This pattern changes towards mostly positive trends if CAPE is analysed for large CIN occurring simultaneously. In contrast, the original pattern remains similar if CAPE is investigated for small CIN. Temperature and humidity, which form the basis of CAPE and CIN, show almost entirely higher values in the future. Decreasing values in CAPE and CIN correlate with large scale patterns like the North Atlantic Oscillation (NAO), El Ni ̃ no/Southern Oscillation (ENSO) and the Southern Annular Mode (SAM). Furthermore, a southward shift of the descending branch of the southern hemisphere Hadley Cell in a warmer climate decreases CAPE further. The correlations of CAPE with the above named teleconnections influence the distribution of global memory on long time scales. The influence of ENSO on the memory in CAPE and CIN intensifies in a warmer climate with regards to spread and frequency. Furthermore, the impact of the NAO on CAPE also spreads in terms of location, while the ...
format Thesis
author Riemann-Campe, Kathrin
spellingShingle Riemann-Campe, Kathrin
Can convective precipitation variability be deduced from the variability in CAPE and CIN? An analysis of global CAPE and CIN variability in present and future climates
author_facet Riemann-Campe, Kathrin
author_sort Riemann-Campe, Kathrin
title Can convective precipitation variability be deduced from the variability in CAPE and CIN? An analysis of global CAPE and CIN variability in present and future climates
title_short Can convective precipitation variability be deduced from the variability in CAPE and CIN? An analysis of global CAPE and CIN variability in present and future climates
title_full Can convective precipitation variability be deduced from the variability in CAPE and CIN? An analysis of global CAPE and CIN variability in present and future climates
title_fullStr Can convective precipitation variability be deduced from the variability in CAPE and CIN? An analysis of global CAPE and CIN variability in present and future climates
title_full_unstemmed Can convective precipitation variability be deduced from the variability in CAPE and CIN? An analysis of global CAPE and CIN variability in present and future climates
title_sort can convective precipitation variability be deduced from the variability in cape and cin? an analysis of global cape and cin variability in present and future climates
publishDate 2011
url https://epic.awi.de/id/eprint/48145/
https://hdl.handle.net/10013/epic.ee840bfe-3fbb-4d72-8cc1-dec8a8b5bab1
genre North Atlantic
North Atlantic oscillation
Southern Ocean
genre_facet North Atlantic
North Atlantic oscillation
Southern Ocean
op_source EPIC3
op_relation Riemann-Campe, K. orcid:0000-0002-7733-8427 (2011) Can convective precipitation variability be deduced from the variability in CAPE and CIN? An analysis of global CAPE and CIN variability in present and future climates PhD thesis, University of Hamburg. doi:10.17617/2.1412642 <https://doi.org/10.17617/2.1412642> , hdl:10013/epic.ee840bfe-3fbb-4d72-8cc1-dec8a8b5bab1
_version_ 1810464745620242432