Analysis of climate trends in tropical rainfall
C.-H. Sui 隋中興 隋中興 隋中興 隋中興 J.-J. Sun 孫既仁 孫既仁 孫既仁 孫既仁
- Dept. of Atmospheric Sci., National Taiwan Univ
Analysis of climate trends in tropical rainfall C.-H. Sui - - PowerPoint PPT Presentation
Analysis of climate trends in tropical rainfall C.-H. Sui J.-J. Sun Dept. of Atmospheric Sci., National Taiwan Univ Peng Liu
1st mode HadISST 2nd mode HadISST 2nd mode ERSST 1st mode ERSST Primarily a Pacific oscillation Primarily an Atlantic oscillation 1990 1970 1950 1930 1910 1890 1990 1970 1950 1930 1910 1890 60 yrs 20 yrs 60 yrs
1
Regressed T2m on the 1st PC (the PDO-like) from HadISST EOF analyses
Regressed T2m on the 2nd PC (the AMO-like) from HadISST EOF analyses
N S
↗ Northward Ocean Heat Transport ↘ Northward Atm Heat Transport
Hadley cell strengthening & Northward shift of ITCZ AMO phase
Walker circulation strengthening PDO phase +tive ↘ --
stream func./NCEP Contour (1980-2007 mean) Shadings (2007-1994) minus (1993-1980) [unit:1010kg/s]
Liu and Sui (2013) STgm GISS [SAT GHCN, HadISST1 1880-Nov 1981, NOAA OISSTv2, Dec 1981-present]
Predictors: Xij ( j denotes grids in space) Predictant: Yi ( i denotes time) The PLS-regression method seeks to predict Y with the predictors (a linear combinations of X) and to maximize (1) variance in Y , and (2) correlation between X and Y
(mm/d)
(% /100yr)
(% /100yr)
Mean rainfall Trend in Rainfall amount (mm/day per decade) Trend in Rainfall Intensity (% per decade) “ rich → richer, poor→poorer”
tendency
SSMI GPCP Es+(∇• ∇• ∇• ∇•qv)b Es (∇• ∇• ∇• ∇•qv)b Mean (mm/d) 3.62 2.92 3.72 4.49
trendoriginal (% /decade) 1.9 0.53 2.47 2.38 1.9 trendPLSR (% /decade)
SSMI
SSMI GPCP
Trends in original data (Ro) Trends in original data (Ro) Trends in PLS regressed data (Ro) Trends in PLS regressed data (Ro)
w w w w w w
(1995-2010)−(1979-1994)
r r r r r r
20N 10N 10S 20S
) 6 . ~ (b W W b R R ∆ ≈ ∆
1
07 . /dT ln , / /
−
≈ ≡ + = K e d T M M P P
s
α αδ δ δ
Mass exchange between the boundary layer & free troposphere
-300K ---305K
4%/K 8%/K CWV BWV 5%/K~1%/0.2K~1%/decade (C. J. Muller & P. A. O’Gorman 2011) 99.9% 99.99% BWV
The earth’s surface temperature warmed by 0.19±0.04K/decade according to the Global Historical Climatology Network between 1987-2006
(D. M. Romps , 2010)
Time series of boreal summer (MJJAS) mean indices
Wang et al. 2013 PNAS
U850 averaged over the equatorial Pacific (10°S–10°N, 140°E–120°W) .
(mm·d−1) averaged over the entire NH monsoon rainfall domain (U850-U200) ave (0°–20°N, 120°W–120°E)
(r = 0.85)
function (1010 kg·s−1)| ERAI and GPCP, version 2.2, 1979–2011
Domain: 30S-30N Detrended SST by 30S-30N mean trend 30S-30N Mean: 3.6175(mm/day)
(a) Time series of the averaged values over tropical oceans (30oS-30oN) for the
squared regression analysis (PLSRA) applied to SST and rainfall fields to suppress the natural oscillations in precipitation data (after the first and second PLSRA, R1 in green and R2 in blue). The dashed lines indicate the corresponding linear trends. (b) The same as (a) except for SSM/I Units in mm d-1. 2.92 0.53 %
(10y)-1 3.62 1.9 %
(10y)-1
GPCP Qbdy EVP Qconv
mean 2.92 3.72 4.49
R0 0.53 2.47 2.38 1.9 R1 0.29 0.39 0.36
R2
% (10y)-1
SSMI GPCP Es+(∇• ∇• ∇• ∇•qv)b Es (∇• ∇• ∇• ∇•qv)b Mean (mm/d) 3.62 2.92 3.72 4.49
trendoriginal (% /decade) 1.9 0.53 2.47 2.38 1.9 trendPLSR (% /decade)
SSMI
SSMI GPCP
Trends in original data (Ro) Trends in original data (Ro) Trends in PLS regressed data (Ro) Trends in PLS regressed data (Ro)
1.9 0.53 %DY
20N 10N 10S 20S