2 on Uncertainty Analysis and Parameter Estimation urvey
Transcript of 2 on Uncertainty Analysis and Parameter Estimation urvey
Ann
ualR
epor
tby
Wor
kG
roup
2A
nnua
l Rep
ort b
y W
ork
Gro
up 2
on U
ncer
tain
ty A
naly
sis
and
Para
met
erEs
timat
ion
Para
met
er E
stim
atio
nTo
m N
icho
lson
, U.S
. Nuc
lear
Reg
ulat
ory
Com
mis
sion
M
Hill
US
Gl
ilS
Mar
y H
ill, U
.S. G
eolo
gica
l Sur
vey
2012
ISC
ME
M A
nnua
l Pub
lic M
eetin
gN
ovem
ber9
2012
Nov
embe
r 9, 2
012
US
GS
-R
esto
n, V
A
1
Out
line
•W
ork
Gro
up 2
(WG
2) O
bjec
tive
and
Goa
ls
•M
embe
rs a
nd P
artic
ipan
ts
•Ac
tiviti
esan
dTe
chni
calP
roje
cts
•Ac
tiviti
es a
nd T
echn
ical
Pro
ject
s
•Se
min
ars
at th
e W
G2
Mee
tingsg
•M
etho
dolo
gies
, Too
ls a
nd A
pplic
atio
ns
•Fo
rwar
d St
rate
gy
2•
Rec
omm
enda
tions
for F
Y201
3
Wor
k G
roup
Obj
ectiv
e
Cdi
ti
dh
dt
d
Coo
rdin
ate
ongo
ing
and
new
rese
arch
con
duct
ed
by U
.S. F
eder
al a
genc
ies
on:
tti
tipa
ram
eter
est
imat
ion
unce
rtain
ty a
sses
smen
ti
fi
ld
lid
in s
uppo
rt of
env
ironm
enta
l mod
elin
g an
d ap
plic
atio
ns
Ft
ti
dt
hi
Fo
cus
on s
trate
gies
and
tech
niqu
es
Incl
udes
sen
sitiv
ity a
naly
sis
Wh
id
dhi
hibj
i?
Wha
t is
need
ed to
ach
ieve
this
obje
ctive
?C
oord
inat
ion
of re
sear
ch s
taff
and
thei
r man
agem
ent
thffi
it
dt
td
fli
itd
3
thru
effi
cien
t and
targ
eted
use
of o
ur li
mite
d re
sour
ces.
Wor
k G
roup
Goa
ls•
Basi
cs:
B
th
l
Dev
elop
a c
reat
ive,
col
labo
rativ
e en
viro
nmen
t to
adva
nce
pa
ram
eter
est
imat
ion
in th
e co
ntex
t of m
odel
dev
elop
men
t .
sour
ces
of u
ncer
tain
ty in
the
cont
ext o
f mod
el p
redi
ctio
ns.
Bat
ch s
cale
(0
.01m
)
Cl
l
Dev
elop
a c
omm
on te
rmin
olog
y.
Iden
tify
inno
vativ
e ap
plic
atio
ns.
Col
umn
scal
e (0
.1 m
)
•Ex
istin
g To
ols:
Ide
ntify
, eva
luat
e, a
nd c
ompa
re a
vaila
ble
anal
ysis
stra
tegi
es, t
ools
and
sof
twar
e.
Inte
rmed
iate
sc
ale
(2m
)
•N
ew T
ools
: D
evel
op, t
est,
and
appl
y ne
w th
eorie
s an
d m
etho
dolo
gies
.E
lect
rical
C
ondu
ctiv
ity
Trac
er te
st s
cale
(1
-3m
)
•Ex
chan
ge:
Faci
litat
e ex
chan
ge o
f tec
hniq
ues
and
idea
s th
ru t
elec
onfe
renc
es, t
echn
ical
wor
ksho
ps, p
rofe
ssio
nal
But
ler e
t al
Geo
phys
ics
(2-2
00m
)
4
mee
tings
, int
erac
tion
with
oth
er W
Gs
and
ISC
MEM
Web
site
link
s: h
ttps:
//iem
hub.
org/
grou
ps/is
cmem
. P
lum
e sc
ale
(200
0m)
Mem
bers
and
Par
ticip
ants
from
U.S
. Fed
eral
age
ncie
s,un
iver
sitie
s, a
nd in
dust
ry
•To
m N
icho
lson
, NR
C, c
o-C
hair
•M
ary
Hill
, US
GS
, co-
Cha
ir•
Todd
And
erso
nD
OE
•Y
akov
Pac
heps
ky, U
SD
A-A
RS
•To
m P
uruc
ker,
EP
A-A
then
s•
Yor
amR
ubin
UC
Ber
kele
yTo
dd A
nder
son,
DO
E•
Tom
my
Boh
rman
n, E
PA
•G
ary
Cur
tis, U
SG
S•
Bru
ce H
amilt
on, N
SF
Yor
am R
ubin
, UC
Ber
kele
y•
Bria
n S
kahi
ll, U
SA
CO
E•
Mat
t Ton
kin,
SS
PA
•G
ene
Whe
lan
EP
AA
then
s•
Gen
e W
hela
n, E
PA
-Ath
ens
•S
teve
Yab
usak
i, P
NN
L•
Min
g Y
e, F
lorid
a S
tate
U•
Min
gZh
uD
OE
•M
ing
Zhu,
DO
E•
Larr
y D
esch
aine
, Hyd
roG
eolo
gic,
In
c.•
Bor
is F
aybi
shen
ko, L
BN
Ly
,•
Pie
rre G
lynn
, US
GS
•P
hilip
Mey
er, P
NN
L•
Can
dida
Wes
t, E
PA
5
•D
ebra
Rei
nhar
t, N
SF
•Y
ou?
Act
iviti
es: C
onfe
renc
e S
essi
ons
•20
11 F
all A
GU
: Mar
y H
ill, W
G2
Co-
Cha
ir or
gani
zed
sess
ion
“Ut
it
At
Oti
iti
dS
itiit
Al
ii
“Unc
erta
inty
Ass
essm
ent,
Opt
imiz
atio
n, a
nd S
ensi
tivity
Ana
lysi
s in
In
tegr
ated
Hyd
rolo
gic
Mod
elin
g as
App
licat
ion
of H
ydro
info
rmat
ics.
”
•20
11N
SF
Sta
tistic
alan
dA
pplie
dM
athe
mat
ical
Sci
ence
sIn
stitu
te•
2011
NS
F S
tatis
tical
and
App
lied
Mat
hem
atic
al S
cien
ces
Inst
itute
(S
AM
SI):
WG
2 C
o-C
hair
M. H
ill c
o-or
gani
zed
“Wor
ksho
p on
U
ncer
tain
ty in
the
Geo
scie
nces
,” R
esea
rch
Tria
ngle
Par
k, N
C
•20
12 S
ocie
ty o
f Tox
icol
ogy/
EP
A “C
onte
mpo
rary
Con
cept
s in
To
xico
logy
Wor
ksho
p” W
G2
Co-
Cha
ir T.
Nic
hols
on p
rese
nted
in
vite
dpa
per
volu
ntee
red
post
eran
dpa
rtici
pate
din
tech
nica
lin
vite
d pa
per,
volu
ntee
red
post
er, a
nd p
artic
ipat
ed in
tech
nica
l se
ssio
ns. F
ocus
ed o
n ex
posu
re, d
ose-
resp
onse
, eco
syst
em
impa
cts,
life
cyc
le/c
ost-b
enef
it, a
nd in
form
atio
n te
chno
logy
.
6
Act
iviti
es: C
onfe
renc
e S
essi
ons
•20
12 F
all A
GU
: Co-
chai
r Mar
y H
ill o
rgan
ized
ses
sion
“Com
plex
ity,
yg
py,
Fals
ifiab
ility
, Tra
nspa
renc
y, a
nd U
ncer
tain
ty in
Env
ironm
enta
l M
odel
ing”
•20
12 G
eolo
gica
l Soc
iety
of A
mer
ica
Ann
ual M
eetin
g: C
o-C
hair
Tom
Nic
hols
on p
rese
nted
invi
ted
pape
r co-
auth
ored
with
M
arH
illW
G2
Co
Cha
iron
“Fed
eral
Wor
kG
rop
onU
ncer
tain
tM
ary
Hill
, WG
2 C
o-C
hair
on “F
eder
al W
ork
Gro
up o
n U
ncer
tain
ty
Ana
lysi
s an
d P
aram
eter
Est
imat
ion”
in te
chni
cal s
essi
on “T
103.
G
roun
d-W
ater
Mod
el C
alib
ratio
n an
d U
ncer
tain
ty A
naly
sis”
i
db
Mi
YFl
idS
tt
Ui
itd
WG
2b
orga
nize
d by
Min
g Y
e, F
lorid
a S
tate
Uni
vers
ity a
nd W
G2
mem
ber.
7
Act
iviti
es: T
elec
onfe
renc
es
We
cond
uct
tele
conf
eren
ces
to:
Trac
er a
pplic
atio
n ar
ea
Obs
erva
tion
wel
l
We
cond
uct
tele
conf
eren
ces
to:
•re
view
and
dis
cuss
ong
oing
rese
arch
stu
dies
an
d so
ftwar
e de
velo
pmen
t•
form
ulat
e pr
opos
als
for f
ield
app
licat
ions
Gro
undw
ater
Uns
atur
ated
soi
l
pp
pp
Wha
t m
easu
re-
men
tsw
ould
men
ts w
ould
he
lp
disc
rimin
ate
betw
een
two
mod
els?
mod
els?
from
2/
22/2
012
sem
inar
byse
min
ar b
y Ya
kov
Pac
heps
ky,
US
DA
, on
mod
el
8
mod
el
abst
ract
ion
Act
iviti
es: T
elec
onfe
renc
es
We
cond
uct
tele
conf
eren
ces
to:
•re
view
and
dis
cuss
ong
oing
rese
arch
st
udie
s an
d so
ftwar
e de
velo
pmen
t•
form
ulat
epr
opos
als
forf
ield
appl
icat
ions
form
ulat
e pr
opos
als
for f
ield
app
licat
ions
How
doe
s m
oist
ure
trave
l in
the
atm
osph
ere
and
lead
to b
ig s
torm
s?
9fro
m 9
/21/
2012
sem
inar
by
Mik
e D
ettin
ger,
US
GS
, on
atm
osph
eric
rive
rs
Sem
inar
s at
WG
2 Te
leco
nfer
ence
s in
FY
2012
•M
ulti
Sca
leA
sses
smen
tofP
redi
ctio
nU
ncer
tain
tyin
•M
ulti-
Sca
le A
sses
smen
t of P
redi
ctio
n U
ncer
tain
ty in
C
oupl
ed R
eact
ive
Tran
spor
t Mod
els
by G
ary
P. C
urtis
, U
SG
S; M
ing
Ye,
Flo
rida
Sta
te U
nive
rsity
; Phi
lip D
. Mey
er
and
Ste
ve B
. Yab
usak
i, P
NN
L to
dis
cuss
the
use
of a
B
ayes
ian
mod
el a
vera
ging
met
hod
to a
sses
s pa
ram
etric
an
d m
odel
unc
erta
inty
for i
mpr
ovem
ent o
f pre
dict
ive
yp
ppe
rform
ance
.
•B
riefin
g on
the
Che
rnob
yl C
oolin
g P
ond
Dec
omm
issi
onin
g an
d R
emed
iatio
n P
ropo
sal (
ISC
ME
M C
ase
Stu
dy fo
r Im
prov
ing
Sci
entif
icB
asis
forM
ultim
edia
Env
ironm
enta
lIm
prov
ing
Sci
entif
ic B
asis
for M
ultim
edia
Env
ironm
enta
l M
odel
ing
and
Ris
k A
sses
smen
t) by
Bor
is F
aybi
shen
ko,
Law
renc
e B
erke
ley
Nat
iona
l Lab
orat
ory,
to p
rovi
de
com
men
tsan
dqu
estio
nsfo
rthe
inte
rnat
iona
lmee
ting
in10
com
men
ts a
nd q
uest
ions
for t
he in
tern
atio
nal m
eetin
g in
K
iev,
Ukr
aine
on
rem
edia
tion
deci
sion
-mak
ing.
Che
rnob
yl C
oolin
g Po
nd D
ecom
mis
sion
ing
and
Rem
edia
tion
Prop
osal
(IS
CM
EM
Cas
e S
tudy
for I
mpr
ovin
g S
cien
tific
Bas
is fo
r Mul
timed
ia
Ei
tlM
dli
dR
ik
At)
bB
iF
bih
kE
nviro
nmen
tal M
odel
ing
and
Ris
k A
sses
smen
t) by
Bor
is F
aybi
shen
ko,
Law
renc
e B
erke
ley
Nat
iona
l Lab
orat
ory
on O
ctob
er 2
011.
11
Sem
inar
s at
WG
2 Te
leco
nfer
ence
s(c
ontin
ued)
(con
tinue
d)•
Trai
ning
Ran
ge E
nviro
nmen
tal E
valu
atio
n an
d C
hara
cter
izat
ion
Sys
tem
(TR
EE
CS
) by
B. J
ohns
on, M
. D
ortc
h an
d B
. Fay
bish
enko
to d
iscu
ss a
n ad
vanc
ed s
patia
lly
inte
grat
ed, m
ulti-
scal
e, m
ulti-
path
way
sim
ulat
ion
capa
bilit
y fo
reva
luat
ion
ofdi
strib
uted
sour
ces
ofco
ntam
inan
tsfro
mfo
r eva
luat
ion
of d
istri
bute
d so
urce
s of
con
tam
inan
ts fr
om
both
on-
site
as
wel
l as
off-s
ite s
ourc
es w
ith a
pplic
atio
ns to
th
e B
orsc
hi W
ater
shed
, and
milit
ary
train
ing
rang
e.
•Th
e “H
ow” o
f Env
ironm
enta
l Mod
elin
g: T
owar
d E
nhan
ced
Tran
spar
ency
and
Ref
utab
ility
byM
ary
Hill,
US
GS
,to
Tran
spar
ency
and
Ref
utab
ility
by M
ary
Hill
, US
GS
, to
disc
uss
adva
ntag
es o
f est
ablis
hing
a b
ase
set o
f mod
el
sens
itivi
ty a
naly
sis
and
unce
rtain
ty e
valu
atio
n m
easu
res,
to
beus
edal
ong
with
any
othe
rper
form
ance
mea
sure
sof
12
be u
sed
alon
g w
ith a
ny o
ther
per
form
ance
mea
sure
s of
in
tere
st.
M
odel
Ade
quac
y•H
ow t
o in
clud
e m
any
data
type
s w
ith
vari
able
qua
lity?
Err
or-b
ased
wei
ghtin
g an
d SO
O,M
OO
*
Sens
itiv
ity
and
Unc
erta
inty
•Is
mod
el m
isfit
/ove
rfit
a pr
oble
m?
Are
pri
or k
now
ledg
e an
d da
ta s
ubse
ts in
cons
iste
nt?
Vari
ance
of w
eigh
t-st
anda
rdiz
ed re
sidu
als,
resi
dual
gra
phs
and
spac
e/tim
e pl
ots,
MO
O*
•How
non
linea
r is
the
prob
lem
? M
odifi
ed B
eale
’s m
easu
re, E
xplo
re o
bjec
tive
func
tion*
, TSD
E*
•Wha
t par
amet
ers
can
be e
stim
ated
wit
h th
e ob
serv
atio
ns?
b/SD
b, C
SS&
PCC,
SV,
OAT
*, D
oE*,
FA
ST*,
M
CF(R
SA)*
Sobo
l’*
MCM
C*IR
*
•Whi
ch p
aram
eter
s ar
e im
port
ant
and
unim
port
ant
to p
redi
ctio
ns?
PSS,
FAST
*•H
owce
rtai
nar
eth
epr
edic
tion
s?
Para
met
ers
Obs
erva
tion
sPr
edic
tion
sPa
ram
eter
sSe
nsit
ivit
y an
d U
ncer
tain
ty
MCF
(RSA
)*, S
obol
,* M
CMC*
, IR*
•Whi
ch o
bser
vati
ons
are
impo
rtan
t an
d un
impo
rtan
t to
pa
ram
eter
s?Le
vera
ge, C
ook’
s D
,CV*
, MO
O*
•Are
any
par
amet
ers
dom
inat
ed b
y on
e ob
serv
atio
n an
dth
usit
ser
ror?
Leve
rage
DFB
ETA
SCV
*
•How
cer
tain
are
the
pred
icti
ons?
z/SD
z, Pr
edic
tion
unce
rtai
nty
inte
rval
s# , M
MA
*•W
hich
par
amet
ers
cont
ribu
te m
ost
and
leas
t to
pre
dict
ion
unce
rtai
nty?
PPR
,FA
ST*,
Sob
ol’,*
M
CMC*
Obs
erva
tion
s Pr
edic
tion
s•W
hich
exis
ting
and
pote
ntia
lobs
erva
tion
sar
eim
port
ant
toth
epr
edic
tion
s?O
PRCV
*
and,
thu
s, it
s er
ror?
Lev
erag
e, D
FBET
AS,
CV*
•How
cer
tain
are
the
para
met
er v
alue
s? b
/SD
b,
Para
met
er u
ncer
tain
tyin
terv
als#
MCM
C*
•Whi
ch e
xist
ing
and
pote
ntia
l obs
erva
tion
s ar
e im
port
ant
to th
e pr
edic
tion
s? O
PR, C
V•W
hich
mod
els
in M
MA
are
like
ly to
pro
duce
the
bes
t pr
edic
tion
s?
For
indi
vidu
al m
odel
eva
luat
ions
:AIC
, AIC
c, B
IC, K
IC, C
V*
13
Com
puta
tiona
lly fr
ugal
met
hods
(ofte
n 10
s to
1,0
00s
of m
odel
runs
)C
ompu
tatio
nally
dem
andi
ng m
etho
ds (o
ften
10,0
00s
to 1
,000
,000
s of
mod
el ru
ns)*
Met
hodo
logi
es, T
ools
and
App
licat
ions
•P
roce
edin
gs o
f the
Inte
rnat
iona
l Wor
ksho
p on
Unc
erta
inty
, S
ensi
tivity
and
Par
amet
er E
stim
atio
n fo
r Mul
timed
ia
yE
nviro
nmen
tal M
odel
ing
(NU
RE
G/C
P-0
187)
•Jo
intU
nive
rsal
Para
met
erId
enTi
ficat
ions
and
•Jo
int U
nive
rsal
Par
amet
er Id
enTi
ficat
ions
and
Ev
alua
tion
of R
elia
bilit
y A
pplic
atio
n Pr
ogra
mm
ing
Inte
rfac
e (J
UPI
TER
API
) for
pro
gram
min
g co
mpu
ter
prog
ram
sde
sign
edto
anal
yze
proc
ess
mod
els
join
tpr
ogra
ms
desi
gned
to a
naly
ze p
roce
ss m
odel
s, jo
int
US
GS
and
EP
A p
roje
ct (B
anta
and
oth
ers,
200
6)
•H
ydro
logi
c C
once
ptua
l Mod
el, P
aram
eter
and
Sce
nario
U
ncer
tain
ty M
etho
dolo
gy, c
oope
rativ
e pr
ojec
t by
the
Uni
vers
ity o
f Ariz
ona,
PN
NL
and
NR
C s
taff
(NU
RE
G/C
R- 14
y,
(69
40)
Met
hodo
logi
es, T
ools
and
App
licat
ions
(con
tinue
d)(c
ontin
ued)
•M
odel
Abs
tract
ion
Tech
niqu
es fo
r det
erm
inin
g an
d id
entif
ying
conc
eptu
alm
odel
stru
ctur
ean
dpa
ram
eter
iden
tifyi
ng c
once
ptua
l mod
el s
truct
ure
and
para
met
er
estim
atio
n st
rate
gies
, joi
nt U
SD
A/A
gric
ultu
ral R
esea
rch
Ser
vice
and
NR
C s
taff
(NU
RE
G/C
R-7
026)
•A
ppro
ache
s in
Hig
hly
Par
amet
eriz
ed In
vers
ion:
PE
ST+
+,
a P
aram
eter
ES
Tim
atio
n co
de o
ptim
ized
for l
arge
p
gen
viro
nmen
tal m
odel
s by
D. W
elte
r, J.
Doh
erty
, R. H
unt,
C. M
uffe
ls, M
. Ton
kin,
and
W. S
chre
uder
. An
obje
ct-
orie
nted
para
met
eres
timat
ion
code
that
inco
rpor
ates
orie
nted
par
amet
er e
stim
atio
n co
de th
at in
corp
orat
es
bene
fits
of o
bjec
t-orie
nted
pro
gram
min
g te
chni
ques
for
solv
ing
larg
e pa
ram
eter
est
imat
ion
mod
elin
g pr
oble
ms.
(U
SG
ST
hi
dM
thd
7C
5)15
(US
GS
Tec
hniq
ues
and
Met
hods
: 7-C
5)
Forw
ard
Stra
tegy
Ene
rgiz
e th
e sc
ienc
e an
d te
chno
logy
thru
cl
oser
linka
geto
deci
sion
mak
ing:
clos
er li
nkag
e to
dec
isio
n m
akin
g:
be
tter u
nder
stan
d th
e m
etho
ds b
eing
use
d in
pa
ram
eter
est
imat
ion
and
unce
rtain
ty a
naly
ses
es
tabl
ish
a ba
se s
et o
f mod
el s
ensi
tivity
ana
lysi
s an
d un
certa
inty
eva
luat
ion
mea
sure
s, in
add
ition
to
the
othe
r per
form
ance
mea
sure
s
ddi
fft
thd
iti
l
use
and
com
pare
diff
eren
t met
hods
in p
ract
ical
si
tuat
ions
16
Rec
omm
enda
tions
for F
Y201
3•
Ass
istd
evel
opm
enta
ndcr
eatio
nof
othe
rwor
king
grou
ps•
Ass
ist d
evel
opm
ent a
nd c
reat
ion
of o
ther
wor
king
gro
ups
–Ta
ke a
dvan
tage
of t
he re
leva
nce
of u
ncer
tain
ty a
nd p
aram
eter
es
timat
ion
to a
ll en
viro
nmen
tal m
odel
ing
and
mon
itorin
g fie
lds.
–D
evel
opan
dco
nduc
tjoi
ntIS
CM
EM
tele
conf
eren
ces
–D
evel
op a
nd c
ondu
ct jo
int I
SC
ME
M te
leco
nfer
ence
s •
WG
1 (S
oftw
are
Sys
tem
Des
ign;
des
ign
of u
ncer
tain
ty a
nd p
aram
eter
es
timat
ion
softw
are
and
dat
a fu
sion
)•
WG
3(R
eact
ive
Tran
spor
tMod
els
and
Mon
itorin
g;su
ppor
tdec
isio
nW
G3
(Rea
ctiv
e Tr
ansp
ort M
odel
s an
d M
onito
ring;
sup
port
deci
sion
m
akin
g)
–A
ct a
s an
incu
bato
r to
build
sup
port
for n
ew id
eas
•P
ropo
sed
WG
on
mon
itorin
g ba
sed
on th
e im
porta
nce
of m
onito
ring
pG
gp
gto
unc
erta
inty
and
par
amet
er e
stim
atio
n, a
nd v
isa
vers
a•
Spo
nsor
tech
nica
l wor
ksho
ps o
n en
dors
ed s
tudi
es
–U
Sst
udie
s:N
atur
itaC
O;H
anfo
rd-3
00A
rea;
OP
E3
Bel
tsvi
lleM
DU
.S. s
tudi
es: N
atur
ita, C
O; H
anfo
rd30
0 A
rea;
OP
E3
Bel
tsvi
lle, M
D
–In
tern
atio
nal s
tudy
on
mon
itorin
g an
d re
med
iatin
g C
hern
obyl
Coo
ling
Pon
d•
ISC
ME
MW
ebsi
te
17
ISC
ME
M W
ebsi
te
–U
se E
PA
’s ie
mH
UB
to e
nhan
ce In
form
atio
n Tr
ansf
er o
f Tec
hnic
al
Rep
orts
and
Dat
a S
ourc
es
http
s://i
emhu
b.or
g/gr
oups
/iscm
em
18