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The Making of the

Drought Monitor

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The U.S. Drought Monitor

Since 1999, NOAA/CPC and NCDC, USDA, and the NDMC have produced a composite drought map--the Drought Monitor—each week with input from numerous

federal and non-federal agencies

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• A partnership between the NDMC, USDA and NOAA’s CPC and NCDC

• Incorporate relevant information and products from all entities (and levels of government)

dealing with drought (RCC’s, SC’s, federal/state agencies, etc.)

• The Drought Monitor is updated weekly and provides a general up-to-date summary of

current drought conditions across the 50

The Drought Monitor Concept

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 A A partnership partnership between the NDMC, USDA and between the NDMC, USDA and NOAA’s CPC and NCDC

NOAA’s CPC and NCDC

 Incorporate relevant information and products Incorporate relevant information and products from all entities (and levels of government)

from all entities (and levels of government) dealing with drought (RCC’s, SC’s,

dealing with drought (RCC’s, SC’s, federal/state agencies, etc.)

federal/state agencies, etc.)

 The The Drought Monitor Drought Monitor is is updated updated weekly weekly and and provides a general up-to-date summary of

provides a general up-to-date summary of current drought conditions across the 50 current drought conditions across the 50

states and Puerto Rico states and Puerto Rico

The Drought Monitor Concept

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 A consolidation of indices and indicators into one A consolidation of indices and indicators into one comprehensive national drought map

comprehensive national drought map

 The intent is to provide an The intent is to provide an assessment assessment product product NOT NOT a a forecast forecast ! !

 Trying to capture these characteristics: Trying to capture these characteristics:

 the drought’s magnitude (duration + the drought’s magnitude (duration + intensity)

intensity)

 spatial extent spatial extent

The Drought Monitor Concept

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 Integrates Integrates daily daily rainfall reports from thousands of rainfall reports from thousands of stations

stations

Rates drought intensity by Rates drought intensity by percentile percentile ranks ranks

Uses weekly feedback from Uses weekly feedback from local experts local experts to reflect to reflect impacts and for “ground truthing” the product

impacts and for “ground truthing” the product

The Drought Monitor—

A new way of looking at

drought in the U.S.

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Original Objectives

• “ “ Fujita-like” scale Fujita-like” scale

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U.S. Drought Monitor Map

Drought Intensity Categories

D0 Abnormally Dry

D1 Drought – Moderate D2 Drought – Severe

D3 Drought – Extreme

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Original Objectives

• “ “ Fujita-like” scale Fujita-like” scale

• Identify impacts (A, W, F) Identify impacts (A, W, F)

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Original Objectives

• “ “ Fujita-like” scale Fujita-like” scale

• Identify impacts (A, W, F) Identify impacts (A, W, F)

• Assessment of current conditions— Assessment of current conditions—

NOT a forecast!

NOT a forecast!

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Original Objectives

• “ “ Fujita-like” scale Fujita-like” scale

• Identify impacts (A, W, F) Identify impacts (A, W, F)

• Assessment of current conditions— Assessment of current conditions—

NOT a forecast!

NOT a forecast!

• A general assessment—not intended A general assessment—not intended to capture all local details

to capture all local details

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Original Objectives

• “ “ Fujita-like” scale Fujita-like” scale

• Identify impacts (A, W, F) Identify impacts (A, W, F)

• Assessment of current conditions—NOT a Assessment of current conditions—NOT a forecast!

forecast!

• A general assessment—no local details A general assessment—no local details

• Incorporates local expert input Incorporates local expert input

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Monitor Development

Monday Monday

• Draft map sent to local experts Draft map sent to local experts

Tuesday Tuesday

• Local expert feedback Local expert feedback

• Draft map sent to local experts Draft map sent to local experts

• Draft text sent to local experts Draft text sent to local experts

Wednesday Wednesday

• Local expert feedback Local expert feedback

• Final map and text sent to local experts Final map and text sent to local experts

Thursday Thursday

• Map and text released to public on website Map and text released to public on website

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Original Objectives

• “ “ Fujita-like” scale Fujita-like” scale

• Identify impacts (A, W, F) Identify impacts (A, W, F)

• Assessment of current conditions—NOT a Assessment of current conditions—NOT a forecast!

forecast!

• A general assessment—no local details A general assessment—no local details

• Local expert input Local expert input

• As objective as possible As objective as possible

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Creating the Drought Monitor

Interagency Partners:

•NWS/CPC

•USDA/JAWF

•NDMC

Outside Experts:

•USGS

•State Climos

•RCCs

•NWS Hydros

Posted on the Internet every Thursday morning

Newspapers TV Stations

Government officials Public

(http://enso.unl.edu/monitor/)

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USGS Streamflow

CPC Daily Soil Model

30-day Precip .

USDA Soil Ratings

Principal Drought Monitor Inputs Principal Drought Monitor Inputs

Palmer Drought Index

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USGS Streamflow April 19, 2002

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Category Description Possible Impacts

Palmer Drought

Index

CPC Soil Moisture

Model (Percentiles)

USGS Weekly Streamflow (Percentiles)

Percent of Normal Precipitation

Standardized Precipitation Index (SPI)

Satellite Vegetation

Health Index D0 Abnormally

Dry Going into drought: short- term dryness slowing planting, growth of crops or

pastures; fire risk above average. Coming out of drought: some lingering water deficits; pastures or

crops not fully recovered

-1.0 to -1.9

21-30 21-30 <75% for

3 months

-0.5 to -0.7

36-45

D1 Moderate Drought

Some damage to crops, pastures; fire risk high;

streams, reservoirs, or wells low, some water shortages

developing or imminent;

voluntary water-use restrictions requested

-2.0 to -2.9

11-20 11-20 <70% for

3 months

-0.8 to -1.2

26-35

D2 Severe

Drought

Crop or pasture losses likely; fire risk very high;

water shortages common;

water restrictions imposed

-3.0 to -3.9

6-10 6-10 <65% for

6 months

-1.3 to -1.5

16-25

D3 Extreme

Drought Major crop/pasture losses;

extreme fire danger;

widespread water shortages or restrictions

-4.0 to -4.9

3-5 3-5 <60% for

6 months

-1.6 to -1.9

6-15

D4 Exceptional Drought

Exceptional and widespread crop/pasture losses;

exceptional fire risk;

shortages of water in reservoirs, streams, and

wells creating water emergencies

-5.0 or less

0-2 0-2 <65% for

12 months

-2.0 or less

1-5

Additional indices used, mainly during the growing season, include the USDA/NASS Topsoil Moisture, Crop Moisture Index (CMI), and Keetch Byram Drought Index (KBDI). Indices used primarily during the snow season and in the West include the River Basin Snow Water Content, River Basin Average Precipitation, and the Surface Water Supply Index (SWSI).

Drought Severity Classification

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Blending it all together…the Blending it all together…the

Objective Blend of Drought Objective Blend of Drought

Indicators (OBDI)

Indicators (OBDI)

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Current Operational OBDI

• First attempt at operationally integrating multiple indicators in an

automated weekly update using a percentile ranking method

• Combines and weights the 30-day precipitation (1/6), the Modified

Palmer Drought Index (5/12), and the

CPC Soil Moisture (5/12)

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A New Breed of Experimental Blends

“The Short, Long, and Unified of It”

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The New Blends

• Produced weekly using CPC’s real- time daily and weekly climate

division data and NCDC’s monthly archive of indices for 1932-2000

• All parameters are first rendered as

percentiles w/ respect to 1932-2000

data using a percent rank method

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Indices used in the Blends and their Weights:

Short-term Blend: 35% Palmer-derived Z-index; 25% 3-month precipitation; 20%

1-month precipitation; 13% CPC soil

moisture model; and 7% Palmer (Modified) Drought Index

Long-term Blend: 30% Palmer Hydrologic Index; 20% 12-month precip;

15% 6-month precip; 10% Palmer (Modified);

10% 24-month precip; 10% 60-month precip;

and 5% CPC Soil Model

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• Unified Blend: the “raw” Unified

blend is the average of the short- and long-term blends

• The “finished” Unified product plots the percentile of the current “raw”

values relative to the 1932-2000

distribution of monthly values archived at NCDC

The New Blends

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Next Steps

 Support and utilize the development of a western Support and utilize the development of a western

 Implement the new blend products into the process Implement the new blend products into the process SWSI tool SWSI tool

 Incorporate USDA soil measurements (SCAN) Incorporate USDA soil measurements (SCAN)

 Incorporate USGS groundwater data as real-time Incorporate USGS groundwater data as real-time data become available data become available

 Efforts underway to take daily climate data from Efforts underway to take daily climate data from

NOAA’s Cooperative Network to produce a regional/national coverage of station- NOAA’s Cooperative Network to produce a regional/national coverage of station- based SPI

based SPI maps on a

maps on a weekly weekly basis (http://nadss.unl.edu) basis (http://nadss.unl.edu)

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National Drought Mitigation Center

http://drought.unl.edu/monitor

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The Latest Weekly Assessment From t

he United States Drought Monitor The Latest Seasonal Outlook

www.cpc.ncep.noaa.gov

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The U.S. Seasonal Drought Outlook: Past, Present, and

Future

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Drought Outlook Overview

  Originated with August 1999 White House Originated with August 1999 White House briefing

briefing

  Purpose: Present a simple national picture of Purpose: Present a simple national picture of where droughts will improve, persist, or

where droughts will improve, persist, or worsen

worsen

  Released to the public beginning March 2000 Released to the public beginning March 2000

  Issued continuously each month Issued continuously each month

  Numerous inputs, but much subjectivity Numerous inputs, but much subjectivity

  Ongoing research Ongoing research

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White House Drought Briefing

August 11, 1999

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Short-term Tools

- - Medium-Range Forecasts of T & P Medium-Range Forecasts of T & P - 2-wk Soil Model Forecast (MRF) - 2-wk Soil Model Forecast (MRF) - 2-wk COLA Soil Model Forecast - 2-wk COLA Soil Model Forecast

- 6-wk Experimental Climate Prediction - 6-wk Experimental Climate Prediction

Center (ECPC) Soil Model Forecasts

Center (ECPC) Soil Model Forecasts

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Long-term Tools

- - CPC Long-Lead Outlooks of T and P CPC Long-Lead Outlooks of T and P - ECPC Monthly Soil Model Forecasts - ECPC Monthly Soil Model Forecasts - PDI 4-Month Probability Projections - PDI 4-Month Probability Projections

- Soil Moisture Model ENSO Composites - Soil Moisture Model ENSO Composites

- Constructed Analogue Soil (CAS) Model - Constructed Analogue Soil (CAS) Model

Seasonal Forecasts Seasonal Forecasts

- Correlations/Composites from PDO,

- Correlations/Composites from PDO,

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Main Features of Outlooks

Show changes over next 3 ½ months for large- Show changes over next 3 ½ months for large- scale drought areas

scale drought areas

Initial areas based on schematic of Drought Initial areas based on schematic of Drought Monitor D1 areas

Monitor D1 areas

Verification criteria based on one-category Verification criteria based on one-category change in Drought Monitor at end of forecast change in Drought Monitor at end of forecast

period period

Map colors: green for improvement; brown for Map colors: green for improvement; brown for no change; hatched for mixed outlook; yellow for no change; hatched for mixed outlook; yellow for

expanding drought

expanding drought

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MRF-Based 2-Week Soil

Moisture Forecast

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Seasonal

CAS Soil

Moisture

Outlooks

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El Nino Soil Moisture

Composite for October

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Status of PDO, ENSO, and

other patterns

monitored

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Future Plans

Create online archive of past outlook Create online archive of past outlook maps maps

Add a technical discussion of reasoning Add a technical discussion of reasoning behind the outlook

behind the outlook

Continue research on factors related to Continue research on factors related to drought

drought

Create multiple regression drought Create multiple regression drought forecast models

forecast models

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