We
bsi
te:
ww
w.n
cmrw
f.g
ov
.in
L.S.Rathore
L.S.Rathore
India Meteorological Department
India Meteorological Department
Government of India
Government of India
New Delhi
New Delhi
Application of Weather
Application of Weather
Forecasting for Managing
Forecasting for Managing
Agriculture
Agriculture
ROLE OF WEATHER INFORMATION IN
FARM MANAGEMENT
•Cultivars Selection
•Choosing windows for Sowing/harvesting
operations
•Irrigation scheduling –optimal water use
•Mitigation from adverse weather events such as
frost, low temperature, heavy rainfall –at
critical crop stages
•Fertilizer application
•Pesticide/fungicide spraying schedules
•Feed, Health and Shelter Management for
Livestock [Optimal temperature for dairy/
hatchery etc]
Topics of Presentation
Topics of Presentation
•Components of Weather
Application to Farm
Management
•AAS set up of IM
D and NCMRWF
•Integrated AAS-Vision and Future
Plan: District-level Weather
Forecast cum Agro-Advisories and
Village Level Outreach
Components of Weather Application
to Farm
Management
•Assessment of inform
ation needed by end-users
•Generation of seamless weather forecast
•Tools to Translate Weather Inform
ation into
Farm
Management Advice
•Generate advisories as per User needs
•Dissemination of Agro-Met inform
ation
•Training needs of end-users
Assessment of inform
ation needed
by diverse groups of end-users
•ID
EN
TIF
Y W
EA
TH
ER
SE
NS
ITIV
ITY
–O
F C
RO
PS
/AN
IMA
LS
–O
F F
AR
M O
PE
RA
TIO
NS
–F
OR
IN
PU
T M
AN
AG
EM
EN
T
•M
EC
HA
NIS
M F
OR
BA
CK
FLO
W O
F I
NF
OR
MA
TIO
N
•P
ER
IOD
IC S
UR
VE
Y F
OR
CR
OP
AS
SE
SS
ME
NT
•U
SE
OF
RE
MO
TE
SE
NS
ING
& G
IS T
OO
LS
Generation of seamless weather
forecast
•IM
PR
OV
ED
OB
SE
RV
AT
ION
AL
SY
ST
EM
(Sa
tell
ite
/Ra
da
r/b
uo
ys/
Arg
os)
•D
AT
A/P
RO
DU
CT
SH
AR
ING
•C
OU
PLE
D N
WP
MO
DE
LS O
F F
INE
RE
SO
LUT
ION
•W
IDE
SP
EC
TR
UM
OF
TE
MP
OR
AL
DO
MA
IN
•M
ULT
I-M
OD
EL
EN
SE
MB
LE
DE
VE
LOP
ME
NT
OF
TO
OLS
TO
IN
TE
GR
AT
E
AG
RO
-ME
TE
OR
OLO
GIC
AL
DA
TA
IN
TO
US
EF
UL
INF
OR
MA
TIO
N
•IM
PR
OV
ED
CR
OP
MO
DE
LS
•C
RO
P M
OD
EL
OU
T P
UT
BA
SE
D E
XP
ER
T
SY
ST
EM
•F
OR
EC
AS
T F
OR
DE
RIV
ED
PR
OD
UC
TS
(SO
IL M
OIS
TU
RE
/TE
MP
ER
AT
UR
E,
ET
, A
RID
ITY
, LE
AF
WE
TN
ES
S
ET
C.)
•IM
PR
OV
ED
P&
D M
OD
ELS
•V
ULN
ER
AB
ILIT
Y &
RIS
K A
SS
ES
SM
EN
T T
OO
LS
GENERATION OF FARM LEVEL
ADVISORIES
•D
EM
AN
D D
RIV
EN
AD
VIS
OR
Y
•P
ER
SO
NA
LIS
ED
AD
VIS
OR
Y
•C
LUS
TE
R A
PP
RO
AC
H
•C
EN
TR
AL
AG
RO
ME
T-C
LIN
ICS
•V
ILLA
GE
OB
SE
RV
AT
OR
IES
•D
IRE
CT
CO
MM
UN
ICA
TIO
N (C
ELL
PH
ON
E,
TE
LEP
HO
NE
, IN
TE
RN
ET
)
EFFECTIVE COMMUNICATION OF
AGROMET INFORMATION
•R
EA
LTIM
E A
SS
IMIL
AT
ION
OF
OB
SE
RV
AT
ION
S
•T
HR
EE
TIE
R D
ISS
EM
INA
TIO
N–
MA
SS
ME
DIA
–U
SE
R G
RO
UP
S
–IN
DIV
IDU
AL
US
ER
•IN
NO
VA
TIV
E T
OO
LS F
OR
EA
SY
UN
DE
RS
TA
ND
ING
OF
U
SE
R
•A
AS
PO
PU
LAR
ISA
TIO
N C
AM
PA
IGN
S
•D
EV
ELO
P P
UB
LIC
-PR
IVA
TE
PA
RT
NE
RS
HIP
FO
R
DIS
SE
MIN
AT
ION
TRAINING NEEDS OF END
TRAINING NEEDS OF END-- USERS
USERS
•F
AR
M L
EV
EL
DE
MO
NS
TR
AT
ION
•T
RA
ININ
G W
OR
K-S
HO
P
•K
ISA
N G
OS
HT
HI
(EX
PE
RIE
NC
E S
HA
RIN
G)
•T
EA
CH
ING
WE
AT
HE
R S
EN
SIT
IVIT
Y O
F
CR
OP
/AN
IMA
L P
RO
DU
CT
ION
•T
EA
CH
ING
ME
TH
OD
S O
F C
RO
P
PR
OT
EC
TIO
N F
RO
M A
DV
ER
SE
WE
AT
HE
R
Ind
ia M
ete
oro
log
ica
l D
ep
art
me
nt
•M
ile
sto
ne
s 1
93
2,
19
45
, 1
97
6
•2
3 S
tate
Ag
rom
et
Se
rvic
e C
en
tre
in
co
lla
bo
rati
on
wit
h S
DA
•A
gro
-ad
vis
ory
pre
pa
rati
on
-M
on
da
y &
Th
urs
da
y
•C
om
po
site
Ag
ro-a
dv
iso
ry
pre
pa
rati
on
-T
ue
sda
y &
Fri
da
y
•D
isse
min
ati
on
-A
IR,
Do
ord
ars
ha
n,
Pri
nt
me
dia
, W
eb
site
AA
S o
f N
CM
RW
F
•M
ED
IUM
RA
NG
E Q
UA
NT
ITA
TIV
E F
OR
CA
ST
•M
ULT
I-IN
ST
ITU
TIO
NA
L A
PP
RO
AC
H
(NC
MR
WF
/IM
D/I
CA
R/S
AU
s e
tc./
ME
DIA
/DO
S)
•IM
PR
OV
ED
OB
SE
RV
AT
ION
AL
SY
ST
EM
•U
SE
OF
NW
P
•U
SE
OF
IC
Ts
(In
tern
et,
Sa
tell
ite
)
•U
SE
OF
DE
CIS
ION
SU
PP
OR
T S
YS
TE
M
•C
ON
CE
RT
ED
R&
D E
FF
OR
TS
(IC
AR
/NC
MR
WF
/SA
Us/
IMD
)
•M
ED
IA D
EM
AN
DS
Cu
rre
nt
Sta
tus
Fo
r P
rep
ara
tio
n o
f Lo
cati
on
Sp
eci
fic
We
ath
er
Fo
reca
st A
t IM
D/N
CM
RW
F
DIRECT MODEL
OUTPUT FORECAST
STATISTICAL
INTERPRETATION
OF MODELFORECAST
SYNOPTIC
INTERPRETATION
OFMODELFORECAST
FORECASTERS’
PANEL
FINAL FORECAST
(ACZ Scale)
NC
MR
WF
FO
RE
CA
ST
PR
OD
UC
TS
N
CM
RW
F F
OR
EC
AS
T P
RO
DU
CT
S
DIS
SE
MIN
AT
ED
TO
AA
S U
NIT
SD
ISS
EM
INA
TE
D T
O A
AS
UN
ITS
�24 HR PRECIPITATION (MM)
�AVERAGE CLOUDINESS (OKTA)
�AVERAGE WIND SPEED (KMPH) AT 10 FT HEIGHT
�PREDOMINANT WIND DIRECTION (DEG.) AT 10 FT HEIGHT
�MAXIMUM TEMPERATURE TREND (DEG. C) AT 4.5 FT HEIGHT
�MINIMUM TEMPERATURE TREND (DEG. C) AT 4.5 FT HEIGHT
Frequency of Forecast:
Twice-a-week
Dissemination
:On Tuesday and Friday
Period covered
:4days/Outlook for week
AGROMETEOROLOGICAL ADVISORY SERVICE
AGROMETEOROLOGICAL ADVISORY SERVICE
AGROMETEOROLOGICAL ADVISORY SERVICE
AGROMETEOROLOGICAL ADVISORY SERVICE
OF NCMRWF
OF NCMRWF
OF NCMRWF
OF NCMRWF
NCMRWF
NCMRWF
NCMRWF
NCMRWF
INTERNET
INTERNET
INTERNET
INTERNET
FAX/PHONE
FAX/PHONE
FAX/PHONE
FAX/PHONE
AAS UNITS
AAS UNITS
AAS UNITS
AAS UNITS (SAUs / ICAR institutes)
(SAUs / ICAR institutes)
(SAUs / ICAR institutes)
(SAUs / ICAR institutes)
AIRAIRAIRAIR
T.V.
T.V.
T.V.
T.V.
PERSONAL
PERSONAL
PERSONAL
PERSONAL
CONTACT
CONTACT
CONTACT
CONTACT
FARMERS
FARMERS
FARMERS
FARMERS
PREPARATION OF LOCATION SPECIFIC FORECAST
PREPARATION OF AGROMET ADVISORY BULLETIN
FARMERS
FARMERS
FARMERS
FARMERS’ ’’’
FEEDBACK
FEEDBACK
FEEDBACK
FEEDBACK
FEEDBACK FROM
FEEDBACK FROM
FEEDBACK FROM
FEEDBACK FROM
FARMERS/
FARMERS/
FARMERS/
FARMERS/
AAS UNIT
AAS UNIT
AAS UNIT
AAS UNIT
Na
tio
na
l C
en
tre
fo
r M
ed
ium
Ra
ng
e
Fo
reca
stin
g•1
07
AA
S u
nit
s w
ith
SA
Us
& I
CA
R
inst
itu
tes
•4
-da
ys
fore
cast
+ w
ee
kly
ou
tlo
ok
p
rep
ara
tio
n-
Tu
esd
ay
& F
rid
ay
•A
gro
me
t A
dv
iso
ry B
oa
rd &
Ag
ro-
ad
vis
ory
-T
ue
sda
y &
Fri
da
y•
Co
mp
osi
te b
ull
eti
n p
rep
ara
tio
n –
Mo
nd
ay
•C
rop
We
ath
er
Mo
de
ls•
Dis
sem
ina
tio
n-
AIR
, D
oo
rda
rsh
an
, P
rin
t m
ed
ia,
We
b•
Fe
ed
ba
ck –
Fa
rme
rs,
Fo
reca
st
Ve
rifi
cati
on
, E
con
om
ic I
mp
act
A
sse
ssm
en
t &
An
nu
al
Re
vie
w M
ee
tin
gs
•A
AS
aw
are
ne
ss &
use
r in
tera
ctio
n
pro
gra
mm
es
Ind
ian
Co
un
cil
of
Ag
ricu
ltu
ral
Re
sea
rch
•2
5 C
en
ters
of
AIC
RP
on
Ag
ro M
ete
oro
log
y
•Lo
cate
d a
t S
AU
s w
ith
AA
S o
f N
CM
RW
F
•R
&D
in
Ag
rom
et
•A
gro
me
t d
ata
ba
nk
&
We
bsi
te
FORMAT FOR AGROMET ADVISORY BULLETIN
�WEATHER INFORMATION
-Weather summary of preceding week,
-Climatic normal for the week,
-Weather forecast and
-Crop moisture index, Drought severity index etc.
�CROP INFORMATION
-Type, state and phenological stages of the crops
-Information on pest and disease and
-Information on crop stresses
�ADVISORY BULLETIN
-Crop-wise farm management information tailored to weather sensitive agricultural
practices like sowing, irrigation scheduling, p & d control operation, fertilizer use etc.
-Spraying condition for insect, weed and their products
-Wildfire rating forecasts in wildfire prone areas
-Livestock management information for housing, health and nutrition etc.
Sa
lie
nt
Fe
atu
res
of
Ag
rom
et
Ad
vis
ory
S
ali
en
t F
ea
ture
s o
f A
gro
me
t A
dv
iso
ry
Se
rvic
e (
AA
S)
Se
rvic
e (
AA
S)
•AgroMet Field Units (AMFU) in all classified agro-climatic zones.
•Units are opened in State Agricultural Universities and ICAR
Institutes.
•Strong Linkage with AICRP-AgMet of ICAR
•Weather Forecast in quantitative term
s for 4 days with
outlook for a week
•AMFUs translate Wx forecasts into Advisories
•Im
proved Advisory Dissemination & Farm
ers’Feedback
Mechanism
•Units run Crop Weather Models and include output in the day
today advisories.
•Though IMD/NCMRWF services w
ere useful but dem
and of
the
farm
ing community could not be
fully met due
to
following gaps:
–Non-availability of District specific weather forecast
–Non-availability of Extended Range Weather Forecast
–Non-availability of real-time crop inform
ation.
–Lack of objectivity in Advisories
–Lack of strong outreach/extension m
echanism.
Ga
ps
in E
arl
ier
AA
S S
yst
em
Ga
ps
in E
arl
ier
AA
S S
yst
em
Du
rin
g X
Ith
Fiv
e Y
ea
r P
lan
, M
inis
try
Of
Ea
rth
Sci
en
ces
(Mo
ES
) P
lan
s to
Im
pro
ve
W
ea
the
r B
ase
d A
dv
iso
ry S
erv
ice
fo
r F
arm
ing
Co
mm
un
ity
by
Re
org
an
izin
g
the
Ex
isti
ng
Ag
ro-M
ete
oro
log
ica
l A
dv
iso
ry S
erv
ice
s (A
AS
). I
t w
ill
be
Im
ple
me
nte
d i
n C
lose
Co
lla
bo
rati
on
W
ith
Min
istr
y o
f A
gri
cult
ure
& A
g.
Un
ive
rsit
ies
Re
org
an
iza
tio
n P
lan
fo
r IA
AS
Is A
ime
d t
o I
mp
rov
e i
n:
–W
ea
the
r F
ore
cast
& A
dv
iso
ry C
on
ten
t
–U
se o
f M
od
ern
Te
chn
olo
gy
in
AA
S
–A
dv
iso
ry D
isse
min
ati
on
Me
cha
nis
m
–F
ee
db
ack
Me
cha
nis
m
–li
nk
ag
es
wit
h A
dm
inis
tra
tiv
e A
uth
ori
tie
s
–M
on
ito
rin
g S
yst
em
–M
ech
an
ism
fo
r C
on
tin
uo
us
Up
-gra
da
tio
n
–M
utu
al
Co
lla
bo
rati
on
by
Re
late
d A
ge
nci
es
•AAS of IM
D and N
CMRWF has been converged and
the services are being provided under single w
indow
system
.
•All the AMFUs of NCMRWF has been transferred to
IMD since 01-04-2007.
Lau
nch
ing
of
Inte
gra
ted
Ag
rom
et
Lau
nch
ing
of
Inte
gra
ted
Ag
rom
et
Ad
vis
ory
Se
rvic
es
Ad
vis
ory
Se
rvic
es
PHILOSOPHY OF INTEGRATED AAS
•AAS has to be essentially a m
ulti-institutional program.
•As the basic core is weather and climate, IM
D has to play pivotal
role. Integrate AAS at IM
D in a collaborative manner.
•Around m
eteorological nucleus, synthesize the orbits of agro-m
et
data base along with decision support system
to translate w
eather
forecast into advisory----SAUs, ICAR Institutions & others
•The final orbit comprises of Inform
ation dissemination agencies.
These include; K
VK, DAO, ATMA, NGOs etc
•Mass m
edia dissemination agencies (Radio, TV, print media) And
Village level dissemination agencies (DIT
) need to play active role.
Collaborating Agen
cies
•M
inis
try
Of
Ea
rth
Sci
en
ces
–In
dia
Me
teo
rolo
gic
al
De
pa
rtm
en
t
–N
ati
on
al
Ce
ntr
e F
or
Me
diu
m R
an
ge
We
ath
er
Fo
reca
stin
g
–In
dia
n I
nst
itu
te o
f T
rop
ica
l M
ete
oro
log
y
•In
dia
n C
ou
nci
l F
or
Ag
ricu
ltu
ral
Re
sea
rch
•D
ep
art
me
nt
Of
Ag
ricu
ltu
re &
Co
op
era
tio
n
•S
tate
De
pa
rtm
en
ts O
f A
gri
cult
ure
•S
tate
Ag
ricu
ltu
ral
Un
ive
rsit
ies
An
d O
the
r U
niv
ers
itie
s
•M
inis
try
of
Info
rma
tio
n T
ech
no
log
y
•M
inis
try
of
Sci
en
ce &
Te
chn
olo
gy
•M
inis
try
of
Info
rma
tio
n &
Bro
ad
cast
ing
(A
IR &
TV
)
•P
rin
t M
ed
ia
•D
ep
art
me
nt
Of
Sp
ace
•M
in.
of
Ru
ral
De
ve
lop
me
nt
•M
SS
R F
ou
nd
ati
on
& O
the
r N
GO
s &
PP
TIE
R 1
Ap
ex
Po
licy
Pla
nn
ing
Bo
dy
Ap
ex
Po
licy
Pla
nn
ing
Bo
dy
TIE
R 2
TIE
R 2
Na
tio
na
l A
gro
Me
t N
ati
on
al A
gro
Me
t
Se
rvic
e H
Q (
Exe
cuti
on
)S
erv
ice
HQ
(E
xecu
tio
n)
TIE
R 3
TIE
R 3
Sta
te A
gro
Me
t C
en
tre
s~2
8S
tate
Ag
ro M
et
Ce
ntr
es~
28
coo
rdin
ati
on
/mo
nit
ori
ng
coo
rdin
ati
on
/mo
nit
ori
ng
TIE
R 4
TIE
R 4
AM
FU
s A
MF
Us
Ag
ro C
lim
ati
c Z
on
e L
ev
el
~ 1
27
Ag
ro C
lim
ati
c Z
on
e L
ev
el
~ 1
27
TIE
R 5
TIE
R 5
Dis
tric
t Le
ve
l E
xte
nsi
on
& T
rain
ing
Dis
tric
t Le
ve
l E
xte
nsi
on
& T
rain
ing
Inp
ut
ma
na
ge
me
nt
as
ad
vis
ory
Inp
ut
ma
na
ge
me
nt
as
ad
vis
ory
Pla
n F
or
Inte
gra
ted
AA
S
Dri
ve
rs o
f In
teg
rati
on
-
Ne
ed
fo
r C
rop
sp
eci
fic
Dis
tric
t Le
ve
l A
dvis
ory
an
d V
illa
ge
Le
ve
l O
utr
ea
ch.
AS
PE
CT
OF
AU
TO
MA
TIO
N F
OR
AD
VIS
OR
IES
•A
gro
Me
t O
bse
rva
tio
ns
& D
ata
•W
ea
the
r &
Cli
ma
tic
info
rma
tio
n
•M
ech
an
ism
fo
r P
rep
ara
tio
n O
f A
dv
iso
ry
•D
ev
elo
pm
en
t O
f D
SS
AT
Fo
r A
AS
•R
ole
Of
IT
in
Pre
pa
rati
on
Of
Ad
vis
ory
•U
se O
f R
em
ote
Se
nsi
ng
in
AA
S E
tc.
FO
RE
CA
ST
SY
ST
EM
Ex
isti
ng
E
xis
tin
g
Pro
po
sed
P
rop
ose
d
Ag
roA
gro
-- cli
ma
tic
Zo
ne
sp
eci
fic
clim
ati
c Z
on
e s
pe
cifi
c
we
ath
er
Fo
reca
st (
~1
27
) w
ea
the
r F
ore
cast
(~
12
7)
Dis
tric
t Le
ve
l W
ea
the
r D
istr
ict
Lev
el
We
ath
er
Fo
reca
st (
~6
04
)F
ore
cast
(~
60
4)
Sin
gle
GC
Mo
de
l O
ut
Pu
t S
ing
le G
C M
od
el
Ou
t P
ut
(Re
solu
tio
n 1
50
& 7
5 K
ms)
(Re
solu
tio
n 1
50
& 7
5 K
ms)
Mu
lti
Mu
lti --
Mo
de
l S
up
er
Mo
de
l S
up
er
En
sem
ble
En
sem
ble
(NC
MR
WF
T(N
CM
RW
F T
-- 25
4,U
KM
O,
25
4,U
KM
O,
GF
S,
JMA
)G
FS
, JM
A)
Me
soM
eso
-- sca
le M
od
els
sc
ale
Mo
de
ls
(Re
solu
tio
n ~
30
Km
)(R
eso
luti
on
~3
0 K
m)
Me
soM
eso
-- sca
le m
od
els
sc
ale
mo
de
ls
(Re
solu
tio
n ~
10
km
)(R
eso
luti
on
~1
0 k
m)
NCMRWF
T-254Multim
odel Super Ensemble Technique
Step-2
UK M
etNCEP
GFS
JMA
Generation of Multi-model Forecasts
Forecast = w
iFi +d
d= Value-addition
Ad
vis
ory
Se
rvic
e S
yst
em
Ex
isti
ng
E
xis
tin
g
Pro
po
sed
Ex
pa
nsi
on
Pro
po
sed
Ex
pa
nsi
on
Zo
ne
Le
ve
l A
dv
iso
rie
sZ
on
e L
ev
el
Ad
vis
ori
es
Dis
tric
t Le
ve
l A
dv
iso
rie
sD
istr
ict
Lev
el
Ad
vis
ori
es
Su
bje
ctiv
e M
eth
od
olo
gy
to
S
ub
ject
ive
Me
tho
do
log
y t
o
pre
pa
re a
dv
iso
ry b
ull
eti
ns
pre
pa
re a
dv
iso
ry b
ull
eti
ns
De
cisi
on
Su
pp
ort
Sy
ste
m t
oo
ls
De
cisi
on
Su
pp
ort
Sy
ste
m t
oo
ls
Cro
p S
tatu
s in
form
ati
on
C
rop
Sta
tus
info
rma
tio
n ––
fra
gm
en
ted
an
d b
ase
d o
n v
isu
al
fra
gm
en
ted
an
d b
ase
d o
n v
isu
al
est
ima
tee
stim
ate
Use
of
hig
h r
eso
luti
on
re
mo
te
Use
of
hig
h r
eso
luti
on
re
mo
te
sen
sin
g p
rod
uct
s se
nsi
ng
pro
du
cts
Cro
p C
ale
nd
ars
Cro
p C
ale
nd
ars
Use
of
GIS
an
d o
the
r IT
to
ols
fo
r U
se o
f G
IS a
nd
oth
er
IT t
oo
ls f
or
va
lue
ad
dit
ion
v
alu
e a
dd
itio
n
Ge
ne
ric
Ad
vis
ori
es
for
zon
es
Ge
ne
ric
Ad
vis
ori
es
for
zon
es
Cu
sto
miz
ed
pro
du
cts
for
targ
ete
d
Cu
sto
miz
ed
pro
du
cts
for
targ
ete
d
use
r g
rou
ps
use
r g
rou
ps
Simulation
Simulation
Remote Sensing
Remote Sensing
GIS
GIS
Agro met Products
Agro met Products
His
tori
ca
l D
ata
His
tori
ca
l D
ata
His
tori
ca
l D
ata
His
tori
ca
l D
ata
His
tori
ca
l D
ata
His
tori
ca
l D
ata
His
tori
ca
l D
ata
His
tori
ca
l D
ata
Re
al
Tim
e D
ata
R
ea
l T
ime
Da
ta
Re
al
Tim
e D
ata
R
ea
l T
ime
Da
ta
Re
al
Tim
e D
ata
R
ea
l T
ime
Da
ta
Re
al
Tim
e D
ata
R
ea
l T
ime
Da
ta
Fo
rec
as
t D
ata
F
ore
ca
st
Da
ta
Fo
rec
as
t D
ata
F
ore
ca
st
Da
ta
Fo
rec
as
t D
ata
F
ore
ca
st
Da
ta
Fo
rec
as
t D
ata
F
ore
ca
st
Da
ta
Pro
ba
bil
itie
s (
Ra
infa
ll,
Pro
ba
bil
itie
s (
Ra
infa
ll,
Pro
ba
bil
itie
s (
Ra
infa
ll,
Pro
ba
bil
itie
s (
Ra
infa
ll,
Pro
ba
bil
itie
s (
Ra
infa
ll,
Pro
ba
bil
itie
s (
Ra
infa
ll,
Pro
ba
bil
itie
s (
Ra
infa
ll,
Pro
ba
bil
itie
s (
Ra
infa
ll,
Dry
& W
et
Sp
ell
s)
Dry
& W
et
Sp
ell
s)
Dry
& W
et
Sp
ell
s)
Dry
& W
et
Sp
ell
s)
Dry
& W
et
Sp
ell
s)
Dry
& W
et
Sp
ell
s)
Dry
& W
et
Sp
ell
s)
Dry
& W
et
Sp
ell
s)
On
se
t o
f ra
infa
llO
ns
et
of
rain
fall
On
se
t o
f ra
infa
llO
ns
et
of
rain
fall
On
se
t o
f ra
infa
llO
ns
et
of
rain
fall
On
se
t o
f ra
infa
llO
ns
et
of
rain
fall
De
gre
e D
ay
sD
eg
ree
Da
ys
De
gre
e D
ay
sD
eg
ree
Da
ys
De
gre
e D
ay
sD
eg
ree
Da
ys
De
gre
e D
ay
sD
eg
ree
Da
ys
P &
DP
& D
P &
DP
& D
P &
DP
& D
P &
DP
& D
Wa
ter
ba
lan
ce
Wa
ter
ba
lan
ce
Wa
ter
ba
lan
ce
Wa
ter
ba
lan
ce
Wa
ter
ba
lan
ce
Wa
ter
ba
lan
ce
Wa
ter
ba
lan
ce
Wa
ter
ba
lan
ce
So
il m
ois
ture
/te
mp
So
il m
ois
ture
/te
mp
So
il m
ois
ture
/te
mp
So
il m
ois
ture
/te
mp
So
il m
ois
ture
/te
mp
So
il m
ois
ture
/te
mp
So
il m
ois
ture
/te
mp
So
il m
ois
ture
/te
mp
Air
te
mp
era
ture
, A
ir t
em
pe
ratu
re,
Air
te
mp
era
ture
, A
ir t
em
pe
ratu
re,
Air
te
mp
era
ture
, A
ir t
em
pe
ratu
re,
Air
te
mp
era
ture
, A
ir t
em
pe
ratu
re,
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
ET
ET
ET
ET
ET
ET
ET
ET
Su
ns
hin
eS
un
sh
ine
Su
ns
hin
eS
un
sh
ine
Su
ns
hin
eS
un
sh
ine
Su
ns
hin
eS
un
sh
ine
Ra
infa
llR
ain
fall
Ra
infa
llR
ain
fall
Ra
infa
llR
ain
fall
Ra
infa
llR
ain
fall
De
gre
e D
ay
sD
eg
ree
Da
ys
De
gre
e D
ay
sD
eg
ree
Da
ys
De
gre
e D
ay
sD
eg
ree
Da
ys
De
gre
e D
ay
sD
eg
ree
Da
ys
Cro
p P
he
no
log
yC
rop
Ph
en
olo
gy
Cro
p P
he
no
log
yC
rop
Ph
en
olo
gy
Cro
p P
he
no
log
yC
rop
Ph
en
olo
gy
Cro
p P
he
no
log
yC
rop
Ph
en
olo
gy
Wa
ter
ba
lan
ce
/ari
dit
y
Wa
ter
ba
lan
ce
/ari
dit
y
Wa
ter
ba
lan
ce
/ari
dit
y
Wa
ter
ba
lan
ce
/ari
dit
y
Wa
ter
ba
lan
ce
/ari
dit
y
Wa
ter
ba
lan
ce
/ari
dit
y
Wa
ter
ba
lan
ce
/ari
dit
y
Wa
ter
ba
lan
ce
/ari
dit
y
Wa
ter
Re
qu
ire
me
nts
Wa
ter
Re
qu
ire
me
nts
Wa
ter
Re
qu
ire
me
nts
Wa
ter
Re
qu
ire
me
nts
Wa
ter
Re
qu
ire
me
nts
Wa
ter
Re
qu
ire
me
nts
Wa
ter
Re
qu
ire
me
nts
Wa
ter
Re
qu
ire
me
nts
P &
DP
& D
P &
DP
& D
P &
DP
& D
P &
DP
& D
So
il m
ois
ture
/te
mp
So
il m
ois
ture
/te
mp
So
il m
ois
ture
/te
mp
So
il m
ois
ture
/te
mp
So
il m
ois
ture
/te
mp
So
il m
ois
ture
/te
mp
So
il m
ois
ture
/te
mp
So
il m
ois
ture
/te
mp
Air
te
mp
era
ture
Air
te
mp
era
ture
Air
te
mp
era
ture
Air
te
mp
era
ture
Air
te
mp
era
ture
Air
te
mp
era
ture
Air
te
mp
era
ture
Air
te
mp
era
ture
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
ET
ET
ET
ET
ET
ET
ET
ET
Su
ns
hin
eS
un
sh
ine
Su
ns
hin
eS
un
sh
ine
Su
ns
hin
eS
un
sh
ine
Su
ns
hin
eS
un
sh
ine
Ra
infa
llR
ain
fall
Ra
infa
llR
ain
fall
Ra
infa
llR
ain
fall
Ra
infa
llR
ain
fall
Clo
ud
/ S
un
sh
ine
Clo
ud
/ S
un
sh
ine
Clo
ud
/ S
un
sh
ine
Clo
ud
/ S
un
sh
ine
Clo
ud
/ S
un
sh
ine
Clo
ud
/ S
un
sh
ine
Clo
ud
/ S
un
sh
ine
Clo
ud
/ S
un
sh
ine
Te
mp
era
ture
Te
mp
era
ture
Te
mp
era
ture
Te
mp
era
ture
Te
mp
era
ture
Te
mp
era
ture
Te
mp
era
ture
Te
mp
era
ture
Win
d S
pe
ed
& D
ire
cti
on
Win
d S
pe
ed
& D
ire
cti
on
Win
d S
pe
ed
& D
ire
cti
on
Win
d S
pe
ed
& D
ire
cti
on
Win
d S
pe
ed
& D
ire
cti
on
Win
d S
pe
ed
& D
ire
cti
on
Win
d S
pe
ed
& D
ire
cti
on
Win
d S
pe
ed
& D
ire
cti
on
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
Hu
mid
ity
ET
ET
ET
ET
ET
ET
ET
ET
So
il M
ois
ture
So
il M
ois
ture
So
il M
ois
ture
So
il M
ois
ture
So
il M
ois
ture
So
il M
ois
ture
So
il M
ois
ture
So
il M
ois
ture
So
il T
em
pe
ratu
reS
oil
Te
mp
era
ture
So
il T
em
pe
ratu
reS
oil
Te
mp
era
ture
So
il T
em
pe
ratu
reS
oil
Te
mp
era
ture
So
il T
em
pe
ratu
reS
oil
Te
mp
era
ture
Le
af
We
tne
ss
Le
af
We
tne
ss
Le
af
We
tne
ss
Le
af
We
tne
ss
Le
af
We
tne
ss
Le
af
We
tne
ss
Le
af
We
tne
ss
Le
af
We
tne
ss
Le
af
Te
mp
era
ture
L
ea
f T
em
pe
ratu
re
Le
af
Te
mp
era
ture
L
ea
f T
em
pe
ratu
re
Le
af
Te
mp
era
ture
L
ea
f T
em
pe
ratu
re
Le
af
Te
mp
era
ture
L
ea
f T
em
pe
ratu
re
Agro met Advisory
Agro met Advisory
Inte
gra
ted
Ap
pro
ach
to
Pre
pa
re A
dv
iso
ryIn
teg
rate
d A
pp
roa
ch t
o P
rep
are
Ad
vis
ory
We
ath
er
da
ta
thro
ug
h G
TS
Cro
p P
est
&
Dis
ea
se
Info
rma
tio
n
Cu
sto
mis
ed
GIS
fo
r
ge
ne
rati
on
of
ag
rom
et
pro
du
cts
Re
mo
te S
en
sin
g
Info
rma
tio
n
on
cro
p
con
dit
ion
Th
e w
ork
ing
ste
ps
in t
he
Na
tio
na
l C
en
tre
co
ve
r d
ata
co
lle
ctio
n,
qu
ali
ty c
he
cks,
ru
nn
ing
mo
de
ls a
nd
pro
du
ct g
en
era
tio
n,
wh
ile
de
cen
tra
lise
d o
ffic
es
(AM
FU
s) u
tili
sed
the
pro
du
cts
for
fra
min
g t
he
ad
vis
ori
es.
Me
cha
nis
m f
or
pre
pa
rati
on
of
Ag
rom
et
Pro
du
cts
Dis
sem
ina
tio
n o
f A
dv
iso
rie
sMass Mode of Dissemination
All India radio/Television/Print Media
Outreach at Village level
Web Pages/Internet
DIT/NIC
TCS/TCL/MSSRF/ Kisan Call Centers & NGOs
Interactive Dissemination
KVK (ICAR): Training + interaction
DAO (SDA): Coordinate Farm inputs
NGOs & other intermediary groups
Awareness Program (Kisan Mela, Exhibition etc)
Dis
sem
ina
tio
n C
riti
cali
ty
•T
ime
& F
req
ue
ncy
of
Dis
sem
ina
tio
n
•M
od
e o
f D
isse
min
ati
on
•La
ng
ua
ge
of
Bu
lle
tin
s
•F
req
ue
nt
Inte
ract
ion
& C
on
sta
nt
Fe
ed
ba
ck
Fe
ed
ba
ck I
ssu
es
& M
ech
an
ism
•Q
ua
lity
of
Fo
reca
st
•Q
ua
lity
& r
ele
va
nce
of
Ad
vis
ori
es
•F
arm
er
sho
uld
co
nta
ct W
ho
m &
Ho
w?
•P
rob
lem
so
lvin
g t
hro
ug
h i
nte
ract
ive
mo
de
•A
nsw
eri
ng
qu
est
ion
s o
f co
mm
on
in
tere
st t
hro
ug
h
bu
lle
tin
s
•A
cce
ssib
ilit
y t
o i
nfo
rma
tio
n v
ia I
CT
•A
cce
ssib
ilit
y t
o E
xp
ert
s &
vid
eo
Co
nfe
ren
cin
g
IMD/NCMRWF
127 AG.MET. FIELD UNITS
DIS
TR
ICT
AG
RIC
ULT
UR
E
OF
FIC
ES
OF
ST
AT
E
GO
VE
RN
ME
NT
S
PREPARATION OF DISTRICT
WISE MEDIUM RANGE
WEATHER FORECAST
BY STATE MET CENTRE
PREPARATION OF
DISTRICT SPECIFIC
AGRO-ADVISORIES
FOR CONCERNED
AGRO-CLIMATIC
DISSEMINATION OF
DISTRICT LEVEL
AGRO-ADVISORIES
FA
RM
ER
S(T
HR
OU
GH
ME
DIA
, E
XT
EN
SIO
N
SE
RV
ICE
S,
PE
RS
ON
AL
CO
NT
AC
T)
Dis
tric
t-w
ise
Ag
ro-m
et
da
ta
Ag
ro-c
lim
ate
le
ve
l
ag
ro-m
et
da
ta
Fe
ed
ba
ck a
na
lysi
s
Pro
po
sed
Dis
tric
t Le
ve
l A
gro
-Me
t A
dv
iso
ry S
erv
ice
Syst
em
AAS Network
AAS Network--
Agro
Agro-- climatic Zone level
climatic Zone level
Forecast:
Forecast:127 Stations
127 Stations
602 Stations
602 Stations
Proposed District
Proposed District --Level
Level
Medium Range Forecast
Medium Range Forecast
•FORECAST
–Soil Temperature, Soil Moisture,
Evaporation, Evapo-Transpiration, Fog, Frost,
Degree Days, Aridity etc.
•ADVISORY
–Crop & location Specific Advisories
–Horticultural Crops
–Livestock
–Fishries
–Wasteland and Forest Fires
–Post Harvest and Storage
NE
W P
RO
DU
CT
S