Temperature, Rainfall,
and Biome Distribution Lab
Part 2

Introduction:
Below you will find 12 sets of climate data for which the biome is unknown. You are to plot this data into a climatogram, grids on which averages of precipitation and temperature of a particular location are plotted together. These climatograms show variations in only two important climatic factors during a year. Other factors may greatly affect climate, but a climatogram does give a rough idea of climate in the location from which the data were obtained. Biomes are closely associated with climate. By comparing these unknown climates to those that are known we can predict what biome type each area may be.

Purpose:
To predict which biome each Unknown data set is by creating climatograms and comparing them to climatograms of known biomes.

Materials:
Blank climatogram sheets, temperature/precipitation data, Known Climatograms

Procedure:
Graph the climate figures for precipitation and temperature for the Unknown biomes in Group 2 (letters a-l). Be extremely careful as to how you record the information. All temperature readings are measured on the right side of the climatogram! All precipitation measurements are on the left side of the climatogram! Be sure to draw line a graph for temperature and a bar graph for precipitation. Once graphed, try to distinguish what biome each is by comparing them to the known biomes from the previous exercise. Be sure to include in the heading of each climatogram the unknown letter and your choice of biome.

Graph the climate figures for precipitation and temperature for the unknown locales in Group 2 onto your blank climatogram sheets (ex. on left). Be sure that you label each with it's biome name. Also be extremely careful as to how you record the information. All temperature readings are measured on the right side of the climatogram! All precipitation measurements are on the left side of the climatogram! Be sure to draw line a graph for temperature and a bar graph for precipitation.

Group 2
UNKNOWN A

J F M A M J J A S O N D
P: 8.1 7.6 8.9 8.4 9.2 9.9 11.2 10.2 7.9 7.9 6.4 7.9
T: 1.1 1.7 6.1 12.2 17.8 22.2 25 23.3 20 13.9 7.8 2.2

UNKNOWN B

J F M A M J J A S O N D
P: 9.1 8.9 8.6 6.6 5.1 2 0.5 0.5 3.6 8.4 10.9 10.4
T: 10.6 11.1 12.2 14.4 15.6 19.4 21.1 21.7 20 16.7 13.9 11.1

UNKNOWN C

J F M A M J J A S O N D
P: 25.8 24.9 31 16.5 25.4 18.8 16.8 11.7 22.1 18.3 21.3 29.2
T: 25.6 25.6 24.4 25 24.4 23.3 23.3 24.4 24.4 25 25.6 25.6

UNKNOWN D

J F M A M J J A S O N D
P: 1 1.3 1 0.3 0 0 0.3 1.3 0.5 0.5 0.8 1
T: 12.8 15 18.3 21.1 25 29.4 32.8 32.2 28.9 22.2 16.1 13.3

UNKNOWN E

J F M A M J J A S O N D
P: 2.3 1.8 2.8 2.8 3.2 5.8 5.3 3 3.6 2.8 4.1 3.3
T: -3.9 -2.2 1.7 8.9 15 20 22.8 21.7 16.7 11.1 5 -0.6

UNKNOWN F

J F M A M J J A S O N D
P: 0 0 1.5 0.5 8.9 14.7 12.2 8.1 2 1 0.3 0.8
T: 19.4 18.9 18.3 16.1 15 13.3 12.8 13.3 14.4 15 16.7 17.8

UNKNOWN G

J F M A M J J A S O N D
P: 1 1.3 1.8 1.5 1.5 1.3 2.3 2.8 2.8 2.8 2.8 1.3
T: -22.2 -22.8 -21.1 -14.4 -0.39 1.7 5 5 1.1 -3.9 -10 -17.2

UNKNOWN H

J F M A M J J A S O N D
P: 3.6 4.1 4.6 6.9 8.1 6.9 6.4 6.6 8.9 5.1 5.6 4.6
T: 11.7 12.8 17.2 20.6 23.9 27.2 28.3 28.3 26.1 21.1 16.1 12.2

UNKNOWN I

J F M A M J J A S O N D
P: 5.1 5.6 6.6 5.6 2.8 0.9 2.5 4.1 5.8 5.8 5.1 5.3
T: 23.3 22.2 19.4 15.6 11.7 8.3 8.3 9.4 12.2 15.1 18.9 21.7

UNKNOWN J

J F M A M J J A S O N D
P: 0.3 0.5 1.5 3.6 8.6 9.2 9.4 11.4 10.9 5.3 0.8 0.3
T: 17.2 18.9 21.1 22.8 23.3 22.2 21.1 21.1 20.6 19.4 18.9 17.2

UNKNOWN K

J F M A M J J A S O N D
P: 3.3 2.3 2.8 2.5 4.6 5.6 6.1 8.4 7.4 4.6 2.8 2.8
T: -20 -18.9 -12.2 -2.2 5.6 12.2 16.1 15 10.6 3.9 -5.6 -15

UNKNOWN L

J F M A M J J A S O N D
P: 1.5 1.3 1.3 1 1.5 0.8 0.3 0.5 0.8 1 0.8 1.5
T: -0.6 2.2 5 10 13.3 18.3 23.3 22.2 16.1 10.6 4.4 0

UNKNOWN

PREDICTION

ACTUAL

A

B

C

D

E

F

G

H

I

J

K

L

	J	F	M	A	M	J	J	A	S	O	N	D
P:	8.1	7.6	8.9	8.4	9.2	9.9	11.2	10.2	7.9	7.9	6.4	7.9
T:	1.1	1.7	6.1	12.2	17.8	22.2	25	23.3	20	13.9	7.8	2.2

	J	F	M	A	M	J	J	A	S	O	N	D
P:	9.1	8.9	8.6	6.6	5.1	2	0.5	0.5	3.6	8.4	10.9	10.4
T:	10.6	11.1	12.2	14.4	15.6	19.4	21.1	21.7	20	16.7	13.9	11.1

	J	F	M	A	M	J	J	A	S	O	N	D
P:	25.8	24.9	31	16.5	25.4	18.8	16.8	11.7	22.1	18.3	21.3	29.2
T:	25.6	25.6	24.4	25	24.4	23.3	23.3	24.4	24.4	25	25.6	25.6

	J	F	M	A	M	J	J	A	S	O	N	D
P:	1	1.3	1	0.3	0	0	0.3	1.3	0.5	0.5	0.8	1
T:	12.8	15	18.3	21.1	25	29.4	32.8	32.2	28.9	22.2	16.1	13.3

	J	F	M	A	M	J	J	A	S	O	N	D
P:	2.3	1.8	2.8	2.8	3.2	5.8	5.3	3	3.6	2.8	4.1	3.3
T:	-3.9	-2.2	1.7	8.9	15	20	22.8	21.7	16.7	11.1	5	-0.6

	J	F	M	A	M	J	J	A	S	O	N	D
P:	0	0	1.5	0.5	8.9	14.7	12.2	8.1	2	1	0.3	0.8
T:	19.4	18.9	18.3	16.1	15	13.3	12.8	13.3	14.4	15	16.7	17.8

	J	F	M	A	M	J	J	A	S	O	N	D
P:	1	1.3	1.8	1.5	1.5	1.3	2.3	2.8	2.8	2.8	2.8	1.3
T:	-22.2	-22.8	-21.1	-14.4	-0.39	1.7	5	5	1.1	-3.9	-10	-17.2

	J	F	M	A	M	J	J	A	S	O	N	D
P:	3.6	4.1	4.6	6.9	8.1	6.9	6.4	6.6	8.9	5.1	5.6	4.6
T:	11.7	12.8	17.2	20.6	23.9	27.2	28.3	28.3	26.1	21.1	16.1	12.2

	J	F	M	A	M	J	J	A	S	O	N	D
P:	0.3	0.5	1.5	3.6	8.6	9.2	9.4	11.4	10.9	5.3	0.8	0.3
T:	17.2	18.9	21.1	22.8	23.3	22.2	21.1	21.1	20.6	19.4	18.9	17.2

	J	F	M	A	M	J	J	A	S	O	N	D
P:	3.3	2.3	2.8	2.5	4.6	5.6	6.1	8.4	7.4	4.6	2.8	2.8
T:	-20	-18.9	-12.2	-2.2	5.6	12.2	16.1	15	10.6	3.9	-5.6	-15

Temperature, Rainfall, and Biome Distribution Lab Part 2

Last modified 1/30/07

Temperature, Rainfall,
and Biome Distribution Lab
Part 2