data: CountrySTAT Philippines Sub-national Production Crops Yield Yano

served from IRI/LDEO Climate Data Library

CountrySTAT Philippines Sub-national Production Crops Yield Yano_WC: Yield Anomalies estimate of White Corn data

Yield Anomalies estimate of White 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 (Jan-Mar 1987) to (Oct-Dec 2015) by 3.0 N= 116 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

correlationcolorscale

CS

null

datatype

realarraytype

file_missing_value

-9

maxncolor

254

missing_value

NaN

units

0.090718474 kilogram meter^-2

history

CountrySTAT Philippines Sub-national Production Crops [ ( A10PNCVP VoP_WC ) / ( O80LUAHC AH_WC ) ]

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

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

butterworth butt

CountrySTAT Philippines Sub-national Production Crops [ ( A10PNCVP VoP_WC ) / ( O80LUAHC AH_WC ) ]

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

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

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

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

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

butterworth butt

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

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

butterworth butt

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

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

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

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

mean [ ( CountrySTAT Philippines Sub-national Production Crops { [ A10PNCVP VoP_WC ] / [ O80LUAHC AH_WC ] } ) * masklt ( flaglt { root mean sq anom [ ( { CountrySTAT Philippines Sub-national Production Crops O80LUAHC AH_WC } - { 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
CountrySTAT Philippines Sub-national Production Crops Yield Yano_WC[ 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