!"#$%&'()*+(,+-&'.)+/0%1.+2%%.1.)&3("+,)(4++ - - PowerPoint PPT Presentation
!"#$%&'()*+(,+-&'.)+/0%1.+2%%.1.)&3("+,)(4++ - - PowerPoint PPT Presentation
!"#$%&'()*+(,+-&'.)+/0%1.+2%%.1.)&3("+,)(4++ 562/7+&"#+8292+87-9+:&'&*.'*+
;<'1$".+
- -*C<'D6<#6E#;%F*1#?:?)*#%??*)*1%D6<#
- @/%F#;*#&'(/F#*GH*?F#F6#2**#I2"#;/%F#;*#%1*#2**'<(#
- J&H/%2'2#6<#2FB7:#6E#2F61%(*#I%1'%D6<2#61#?6<2F1%'<'<(#
;%F*1#0%)%<?*#;'F/#2F61%(*#
- 86;#;'))#F/*#;%F*1#?:?)*#0*/%I*#'<#F/*#EBFB1*K#
- @/%F#2/6B)7#;*#0*#76'<(#%06BF#'FK#
- &'.)+/0%1.+2%%.1.)&3("+
- =<#%#;%1&'<(#?)'&%F*,#;*#?%<#*GH*?F#&61*#*I%H61%D6<,#%<7#
F/B2#&61*#H1*?'H'F%D6<#%<7#&61*#1B<6L,#'"*"#0'((*1#*G?/%<(*2# 61#&61*#?:?)'<(#6E#;%F*1#'<#F/*#;%F*1#?:?)*#
- 567*)2#2B((*2F#%<7#602*1I%D6<2#%1*#0*('<<'<(#F6#'<7'?%F*#F/%F#
F/*#&%(<'FB7*#%<7#E1*MB*<?:#6E#/:716)6('?#*GF1*&*2#6E# N667'<(#%<7#716B(/F#;'))#%)26#'<?1*%2*#
- $B1F/*1&61*,#&67*)2#2B((*2F#%#1*7'2F1'0BD6<#6E#H1*?'H'F%D6<#
E16&#F/*##&'7O)%DFB7*2,#F6#/'(/#%<7#)6;#)%DFB7*2#
- P4Q.J#'2#0*('<<'<(#F6#?6<F1'0BF*#F6#2FB7'*2#6E#;%F*1#?:?)*#
?/%<(*#0:#?)62'<(#F/*#;%F*1#0B7(*F,#%<7#%)26#0:#H16I'7'<(# 26&*#<*;#2F61%(*,#1%F/*1#F/%<#NBGO0%2*7#&*F1'?2"###
- =&'+4$>='+?.+.@A.%'+'(+*..B+
!"#$#%&'$()(*+,&"',+-./#-,0#&'$,%1%-',$'23($'4,5#&#,#*5,'67'$84',&"#&,%#*, .*-1,/',"#$*'44'5,&"$.3+",#*,(*&'+$#89',&'#:,';.$&<,#4,(4,=.4&'$'5,/1,>?@A,
Global mean water fluxes (1,000 km3/yr) at the start of the 21st century, based on satellite and ground-based observations and data integrating models. A comprehensive assessment of the global water cycle is being carried out by a multi-institutional team of investigators supported by NASA’s Energy and Water Cycle Study (NEWS) program.
Matthew.Rodell@nasa.gov
111.3 378.0 414.0 36.0 75.3 87-9C+9'&'.+(,+'=.+51(D&1+-&'.)+/0%1.+
- =&'+4$>='+?.+.@A.%'+'(+*..B+
EO EL PO PL QA QL SO SL
What do we see?
Syed et al., 2010
199407 199507 199607 199707 199807 199907 200007 200107 200207 200307 200407 200507 200607 2.9 3 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8x 104
Evaporation (km /month) 3
HOAP S SSM/I OAFlux
Time (YearMonth)
Figure S5
P)60%)#6?*%<#*I%H61%D6<#E16&#RQ$)BG,#8RQS9,#995T=#
199507 199607 199707 199807 199907 200007 200107 200207 200307 200407 200507 200607 2000 −5 199507 199607 199707 199807 199907 200007 200107 200207 200307 200407 200507 200607 3.34 3.36 3.38 3.4 3.42 3.44 3.46 3.48
Evaporation (10 km³/month) 4
199412-200611: 768 km3/yr2; p < 0.001 199412-199906: 2256 km3/yr2; p < 0.001 199907-200611: 396 km3/yr2; p < 0.001 (b)
3.18
5*%<#6E##RQ$)BG,#8RQS9,#995T=,#%<<B%)#?:?)*#1*&6I*7#
What do we see?
Syed et al., 2010
199407 199507 199607 199707 199807 199907 200007 200107 200207 200307 200407 200507 200607 2.6 2.7 2.8 2.9 3 3.1 3.2 3.3 3.4 3.5x 104
Time (YearMonth) Precipitation (km /month) 3
GPCP CMAP Figure S4
P)60%)#6?*%<#H1*?'H'F%D6<#E16&#PS.S#%<7#.5QS# 5*%<#6E#PS.S#%<7#.5QS,#%<<B%)#?:?)*#1*&6I*7#
199507 199607 199707 199807 199907 200007 200107 200207 200307 200407 200507 200607 199507 199607 199707 199807 199907 200007 200107 200207 200307 200407 200507 200607 3.04 3.06 3.08 3.1 3.12 3.14 3.16 3.18
Time (YearMonth)
199412-200611: 240 km3/yr2; p < 0.01 199412-199906: -720 km3/yr2; p < 0.01 199907-200611: 1260 km3/yr2; p < 0.001
(c)
Precipitation (10 km³/month) 4
Figure 2
199407 199507 199607 199707 199807 199907 200007 200107 200207 200307 200407 200507 200607 2000 4000 6000 8000 10000 12000 Time (YearMonth) Discharge (km3 /month) Discharge
‘94‘95‘96‘97‘98‘99‘00‘01‘02‘03‘04‘05‘06 2.8 3 3.2 3.4 3.6 3.8 4 4.2 4.4 4.6 x 104 Discharge (km3/yr) Year
Figure 1
&*3D)*$921=B):/,$-C,$1,:2,1F$#GG6H!""I$ $
&6<F/):#7'2?/%1(*# %<<B%)#7'2?/%1(*# Syed et al., 2010
What do we see?
R = M + E P
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
- =&'+4$>='+?.+.@A.%'+'(+*..B+
EO EL PO PL QA QL SO SL
31*<72#Y&&T:1]#
R?*%<#_#W"Z`#["a## b%<7#_#["a#`#["c# P1**<)%<7#_#H["\[#`#["W# Q<F%1?D?%#_#H["d[#`#["Z##
What do we see?
5%22#?/%<(*2#'<#()60%)#;%F*1#1*2*1I6'12#E16&#P4Q.J,#Z[[ZOZ[W[#
- Q&H)'FB7*#6E#%<<B%)#2F61%(*#
?:?)*#H16I'7*2#%#7'1*?F#&*%2B1*# 6E#;%F*1#?:?)*#2F1*<(F/#
- ./%<(*2#'<#%&H)'FB7*#H16I'7*#%#
<*;,#'<F*(1%F*7#%<7#&*%2B1%0)*# &*F1'?#6E#;%F*1#?:?)*# %??*)*1%D6<#
- Q&H)'FB7*#6E#06F/#)%<7#%<7#
6?*%<#2F61%(*#2'(<%)#/%2# '<?1*%2*7#0:#["a#&&T:1#
- R?*%<#?/%<(*2#'<#F/'2#D&*#
H*1'67#%1*#H1'&%1'):#7B*#F6# '<?1*%2'<(#*I%H61%D6<,#1'I*1# 7'2?/%1(*#%<7#'?*#&*)D<(#
7,;:,.9,9$3=,).$C)11$-C,$1,:2,1$ 7,;:,.9,9$*).9$J);,:$C)11$-C,$1,:2,1$
What do we see?
- =&'+4$>='+?.+.@A.%'+'(+*..B+
=S..#Q4d,#S16e*?F*7#S%f*1<2#6E#S1*?'H'F%D6<#./%<(*#
$'(B1*#9S5"^"#4*)%DI*#?/%<(*2#'<#H1*?'H'F%D6<#Y'<#H*1?*<F]#E61#F/*#H*1'67#Z[g[hZ[gg,# 1*)%DI*#F6#Wgi[hWggg"#>%)B*2#%1*#&B)DO&67*)#%I*1%(*2#0%2*7#6<#F/*#94J9#QWj# 2?*<%1'6#E61#-*?*&0*1#F6#$*01B%1:#Y)*k]#%<7#!B<*#F6#QB(B2F#Y1'(/F]"#@/'F*#%1*%2#%1*# ;/*1*#)*22#F/%<#\\l#6E#F/*#&67*)2#%(1**#'<#F/*#2'(<#6E#F/*#?/%<(*#%<7#2DHH)*7#%1*%2# %1*#;/*1*#&61*#F/%<#g[l#6E#F/*#&67*)2#%(1**#'<#F/*#2'(<#6E#F/*#?/%<(*"##
? ?
()C2/*2,Q$,;$)*NF$!"##F$2.$P:,P$
31*<72#'<#$1*2/;%F*1#9F61%(*#E16&#P4Q.J,#Z[[ZOZ[W[# What do we see?
H(?+?$11+'=.+?&'.)+%0%1.+D.=&I.+$"+'=.+,<'<).B+ +
3*&H# 3'&*# ()%?'%)# ()%?'%)# '<F*1()%?'%)#
B+ B+
'<?1*%2'<():# *<*1(*D?#;%F*1#?:?)*#
Summary
- A largely storage driven assessment of water cycle change suggests
that water cycle acceleration is the norm.
- NASA NEWS project is providing new metrics to quantify and
understand these changes
- These and other metrics and datasets will be carefully monitored in
the coming years as part of a comprehensive and ongoing assessment of the state of the water cycle
- The implications for increasing energetics, i.e. for changes in
extremes, must be very carefully evaluated. It is not clear that our models can yet reproduce some the the metrics we discussed today, and therefore accurately predict future changes
- Data acquisition and model development should focus on better