data: $integral dT$ [ CountrySTAT Philippines Sub-national Production Crops Yield Yano

served from IRI/LDEO Climate Data Library

∫dT [ CountrySTAT Philippines Sub-national Production Crops Yield Yano_C ]: Yield Anomalies estimate of Corn data

Yano_C Yield Anomalies estimate of Corn from CountrySTAT Philippines Sub-national Production Crops Yield: Palay and Corn: Yield anomalies estimate by Year, Period.

Independent Variables (Grids)

gid: grid: /gid (unitless) unordered [ (66) (71) (67) (68) (69) (70) (2) (3) (4) (5) (7) (8) (9) (10) (11) (18) (12) (13) (14) (15) (16) (17) (19) (20) (21) (22) (23) (81) (82) (83) (84) (85) (24) (25) (26) (27) (28) (29) (30) (31) (32) (35) (33) (34) (36) (37) (38) (39) (45) (40) (41) (42) (44) (43) (46) (47) (48) (49) (50) (51) (52) (53) (54) (55) (56) (57) (58) (61) (59) (60) (77) (78) (79) (80) (72) (73) (74) (75) (76)] :grid
Time: grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1987) to (0000 1 Jan 2016) by 3.0 N= 117 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

correlationcolorscale

CS

null

datatype

doublearraytype

file_missing_value

-9

maxncolor

254

missing_value

NaN

units

0.00755987283333333 kilogram meter^-2 year

history

CountrySTAT Philippines Sub-national Production Crops [ ( A10PNCVP VoP_C ) / ( O80LUAHC AH_C ) ]

CountrySTAT Philippines Sub-national Production Crops A10PNCVP VoP_C
T2: 1988 to 2015 appended from CountrySTAT Philippines Sub-national Production Crops A10PNCVP VoP_C

CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_C
T2: 1988 to 2015 appended from CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_C

butterworth butt

CountrySTAT Philippines Sub-national Production Crops [ ( A10PNCVP VoP_C ) / ( O80LUAHC AH_C ) ]

CountrySTAT Philippines Sub-national Production Crops A10PNCVP VoP_C
T2: 1988 to 2015 appended from CountrySTAT Philippines Sub-national Production Crops A10PNCVP VoP_C

CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_C
T2: 1988 to 2015 appended from CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_C

masklt [ flaglt ( root mean sq anom { [ ( CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_C ) - ( butterworth butt ) ] / [ butterworth butt ] } , { Tt + 0. } ) , 1 ]

[ CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_C ] - [ butterworth butt ]

CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_C
T2: 1988 to 2015 appended from CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_C

butterworth butt

mean [ CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_C ]

T2: 1988 to 2015 appended from CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_C
Averaged over T2[1987, 2015] minimum 0.0% data present

butterworth butt

mean [ CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_C ]

T2: 1988 to 2015 appended from CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_C
Averaged over T2[1987, 2015] minimum 0.0% data present

root mean sq anom [ ( { CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_C } - { butterworth butt } ) / ( butterworth butt ) ]

Averaged over T2[1987, 2015] minimum 0.0% data present

mean [ ( CountrySTAT Philippines Sub-national Production Crops { [ A10PNCVP VoP_C ] / [ O80LUAHC AH_C ] } ) * masklt ( flaglt { root mean sq anom [ ( { CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_C } - { butterworth butt } ) / ( butterworth butt ) ] , [ Tt + 0. ] } , 1 ) ]

Averaged over T2[1987, 2015] minimum 0.0% data present

Last updated: Sun, 03 Jan 2016 22:10:48 GMT

Data Views

	gid	T
$integral dT$ [ CountrySTAT Philippines Sub-national Production Crops Yield Yano_C ][ gid T \|]	M	M

Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along gid T
Differentiate along gid T
Take differences along gid T