The Washington State Model#

Model Overview#

Data collected for use in the model includes a variety of types and spans a decade (2008-2018), although only a selected subset (2016-2018) is used in irrigated lands model calibration at this time. The nonirrigated lands model estimates regression parameters based on the entire 2008-2018 dataset, but runs scenario modeling with respect to a 2016-2018 base case. The nonirrigated lands model also includes only a subset of crops: grain, bean, alfalfa, and corn.

Spatial coverage of the model is nearly the entire state, with the exception of some regions which lack the agricultural complexity to effectively model (see Default Modeling Behavior for more information), and the spatial scale of the model is a modified version of Washington’s Water Resource Inventory Areas (WRIA). Models are run at an annual scale, as sub-annual planting decisions cannot be captured using available data.

Model input data utilizes a crop grouping structure to retain sufficient resolution in outputs while reducing data dependency. Initial land use surveys contain approximately 200 commodities that OpenAg groups into 14 categories for modeling. Each category is then assigned a proxy commodity to represent the economics and water needs of the group. Proxies are assigned based on a combination of data availability and prominence in the overall land portfolio. For example, imagine a category “vegetable” that includes onions, carrots, and tomato. If carrot is by far the most prominent of the three (90% acreage) then we treat that entire category of land use as though it was carrots for the price, yield, costs, and water demand. This approach is necessary because with so many commodities data and time are not available to model every individual crop.

Regions#

../../_images/WA_modeling_behavior_sm.png

Fig. 2 Regions used in the Washington model along with how they are handled by default, as Full modeled regions, or Simple modeled regions that are scaled linearly by default rather than PMP modeled.#

Region Name

WRIA Region ID

Default Modeling Behavior

Alkali - Squilchuck

40

Full

Cedar - Sammamish

8

Simple

Chambers - Clover

12

Insufficient Ag Land

Chelan

47

Full

Colville

59

Full

Cowlitz

26

Full

Deschutes

13

Simple

Duwamish - Green

9

Simple

Elwha - Dungeness

18

Simple

Entiat

46

Full

Esquatzel Coulee

36

Full

Foster

50

Full

Grand Coulee

42

Full

Grays - Elochoman

25

Simple

Hangman

56

Full

Island

6

Simple

Kennedy - Goldsborough

14

Simple

Kettle

60

Simple

Kitsap

15

Simple

Klickitat

30

Full

Lewis

27

Simple

Little Spokane

55

Full

Lower Chehalis

22

Full

Lower Crab

41

Full

Lower Lake Roosevelt

53

Full

Lower Skagit - Samish

3

Full

Lower Snake

33

Full

Lower Spokane

54

Full

Lower Yakima (Kennewick ID)

37-KID

Full

Lower Yakima (Roza ID)

37-RID

Full

Lower Yakima (Sunnyside Valley ID)

37-SVID

Full

Lower Yakima (Wapato Irrigation Project)

37-WIP

Full

Lyre - Hoko

19

Simple

Methow

48

Full

Middle Lake Roosevelt

58

Simple

Middle Snake

35

Full

Middle Spokane

57

Simple

Moses Coulee

44

Full

Naches (Yakima-Tieton ID)

38-YTID

Full

Nespelem

51

Simple

Nisqually

11

Simple

Nooksack

1

Full

Okanogan

49

Full

Palouse

34

Full

Pend Oreille

62

Simple

Puyallup - White

10

Simple

Queets - Quinault

21

Insufficient Ag Land

Quilcene - Snow

17

Simple

Rock - Glade

31

Full

Salmon - Washougal

28

Full

San Juan

2

Simple

Sanpoil

52

Simple

Skokomish - Dosewallips

16

Simple

Snohomish

7

Full

Soleduc

20

Simple

Stillaguamish

5

Simple

Upper Chehalis

23

Full

Upper Crab-Wilson

43

Full

Upper Lake Roosevelt

61

Simple

Upper Skagit

4

Simple

Upper Yakima (Ellensberg Area)

39-EW

Full

Upper Yakima (Kittitas RD)

39-KRD

Full

Walla Walla

32

Full

Wenatchee

45

Full

Willapa

24

Full

Wind - White Salmon

29

Simple

Default Modeling Behavior#

Some regions in the Washington model use OpenAg’s Simple model by default in order to produce the best results. These regions were identified as having a small amount of agriculture relative to the state’s total, and using the Full PMP model could result in wider fluctuations in results when significant input modifications are made. The table and map above indicate how each region is handled by default in OpenAg.

The primary criteria used in determining how each region is handled is its proportion of agricultural land and revenues relative to the state’s totals. Region land and revenue were ordered by size and the regions that cumulatively resulted in less than 5 percent of land use and less than 2 percent of revenue for the state were identified for further analysis. Regions that fall into both groups use the Simple model by default, with the exceptions of WRIAS 22 (Lower Chehalis), 24 (Willapa), 27 (Lewis), and 28 (Salmon - Washougal), who had significant caneberry production that would have resulted in more variability if left in the Simple model by default.

Supported Capabilities#

The Washington model supports both the irrigated lands model and the nonirrigated lands rainfall model. The nonirrigated lands model is not used for all regions or crops. Most modeled regions include rainfall modeling but only four crops are used in rainfall modeling: grain, bean, hay, and corn.