A comparison of CCSM4 high-resolution and low-resolution predictions for south Florida and southeast United States drought

被引:12
|
作者
Infanti, Johnna M. [1 ,2 ,3 ]
Kirtman, Ben P. [2 ]
机构
[1] Univ Corp Atmospher Res, Boulder, CO 80307 USA
[2] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Cooperat Inst Marine & Atmospher Studies, 4600 Rickenbacker Causeway, Miami, FL 33149 USA
[3] Florida Atlantic Univ, Ctr Environm Studies, 3200 Coll Ave, Davie, FL 33314 USA
基金
美国国家科学基金会;
关键词
Climate; Prediction; CCSM4; Rainfall; Florida; Southeast US; ATLANTIC MULTIDECADAL OSCILLATION; EVERGLADES ECOSYSTEM; ENSO PREDICTION; GULF-STREAM; CLIMATE; MODEL; PRECIPITATION; SENSITIVITY; SIMULATIONS; VARIABILITY;
D O I
10.1007/s00382-018-4553-0
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
It is important to have confidence in seasonal climate predictions of precipitation, particularly related to drought, as implications can be far-reaching and costlythis is particularly true for Florida. Precipitation can vary on fine spatial resolutions, and high-resolution coupled models may be needed to correctly represent precipitation variability. We study south Florida and southeast United States drought in Community Climate System version 4 low resolution (1 degrees atmosphere/ocean) and high-resolution (0.5 degrees atmosphere/0.1 degrees ocean) predictions for time means ranging from 3 to 36months. The very high-resolution in the ocean is of interest here given the potential importance of Gulf Stream on south Florida rainfall. Skill of shorter time-mean South Florida predictions (i.e. 3- and 12-months) are not impacted by increased resolution, but skill of 36-month mean south Florida precipitation is somewhat increased in the high resolution predictions. Notably, over the broader southeast United States the high-resolution model has higher skill for the 36-month mean rainfall predictions, associated with an improved relationship with tropical Pacific and Gulf Stream SSTA. Why this improvement in the broader southeast United States does not extend to Florida is an open question, but does suggest that even further resolution refinements may be needed.
引用
收藏
页码:6877 / 6892
页数:16
相关论文
共 50 条
  • [31] High-resolution time course of hemispheric dominance revealed by low-resolution electromagnetic tomography
    Sinai, A
    Pratt, H
    CLINICAL NEUROPHYSIOLOGY, 2003, 114 (07) : 1181 - 1188
  • [32] High-resolution land cover classification using low-resolution global map data
    Carlotto, Mark J.
    SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION XXII, 2013, 8745
  • [33] Extracting low-resolution river networks from high-resolution digital elevation models
    Olivera, F
    Lear, MS
    Famiglietti, JS
    Asante, K
    WATER RESOURCES RESEARCH, 2002, 38 (11)
  • [34] Mapping Low-Resolution Edges to High-Resolution Paths: The Case of Traffic Measurements in Cities
    Legay, Bastien
    Latapy, Matthieu
    COMPLEX NETWORKS XV, COMPLENET 2024, 2024, : 1 - 13
  • [35] One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer
    Guo, Hang
    Dai, Tao
    Zhu, Mingyan
    Meng, Guanghao
    Chen, Bin
    Wang, Zhi
    Xia, Shu-Tao
    PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2023, 2023, : 2189 - 2198
  • [36] High-resolution image reconstruction of low-resolution DCT-based compressed images
    Park, SC
    Kang, MG
    Segall, CA
    Katsaggelos, AK
    2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS, 2002, : 1665 - 1668
  • [37] High-resolution Interior Tomography with a Deep Neural Network Trained on a Low-resolution Dataset
    Li, Mengzhou
    Cong, Wenxiang
    Wang, Ge
    DEVELOPMENTS IN X-RAY TOMOGRAPHY XIII, 2021, 11840
  • [38] High-resolution image reconstruction from rotated and translated low-resolution images with multisensors
    Wen, YW
    Ng, MK
    Ching, WK
    INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2004, 14 (02) : 75 - 83
  • [39] High-resolution microscopy with low-resolution objectives: correcting phase aberrations in Fourier ptychography
    Konda, Pavan Chandra
    Taylor, Jonathan M.
    Harvey, Andrew R.
    OPTICAL SYSTEMS DESIGN 2015: COMPUTATIONAL OPTICS, 2015, 9630
  • [40] Reconstruction of high-resolution image frames from a sequence of low-resolution and compressed observations
    Segall, CA
    Molina, R
    Katsaggelos, AK
    Mateos, J
    2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS, 2002, : 1701 - 1704