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The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota June 14, 2010 Leon F. Osborne, Jr. Chester Fritz Distinguished Professor of Atmosphere Sciences Chester Fritz Distinguished Professor of Atmosphere Sciences University of North Dakota University of North Dakota President President Meridian Environmental Technology, Inc. Meridian Environmental Technology, Inc. Grand Forks, North Dakota Grand Forks, North Dakota

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Page 1: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

The Challenges of Weather Prediction for Agriculture:

From Weather Rocks to Supercomputers

National Farm Business Management ConferenceFargo, North Dakota

June 14, 2010

Leon F. Osborne, Jr.Chester Fritz Distinguished Professor of Atmosphere SciencesChester Fritz Distinguished Professor of Atmosphere Sciences

University of North DakotaUniversity of North Dakota

PresidentPresident

Meridian Environmental Technology, Inc. Meridian Environmental Technology, Inc.

Grand Forks, North DakotaGrand Forks, North Dakota

Page 2: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Perceptions & Attitudes Towards Weather & Weather Forecasting

• “Weather: Everyone talks about the weather but no one ever does anything about it!”

• “Weather Forecasting: . . . – where you can always be wrong and still have

a job!!”

Page 3: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

AgWeather

Challenges

Page 4: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

The Weather Challenge:

Providing reliable, timely and accurate weather and climate information to support agricultural decision-making that meets producer expectations

Page 5: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Defining Realistic Expectations

• Mitigation of weather impacts on crop productivity drives the need for reliable weather information

• Expectations are that information will be clearly stated, easily understood, and accurate

Page 6: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Ag Producer Challenge

• Knowing what constitutes a realistic expectation of accuracy in spatial and temporal extents

• How?– Understanding factors associated

with defining weather and climate conditions

– Awareness of forecasting limitations

– Seeking out proven and trusted sources of information

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Page 7: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

What is ‘Risk Management’

• Definition: “Protection of life, property, and economic assets through threat minimization”

• Relationship to weather: The understanding of future conditions dictated by variations in global weather patterns

• Dominant Weather Sources Available: – Federal government & university services– Private-sector Tailored Weather Services

Page 8: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Major Weather & Climate Factors

• Extraterrestrial forcing

• Land surface variations

• Ocean storage and transport

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Page 9: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Weather & Climate is the Interaction of the Earth and Its Atmosphere to Sunshine

Latitude

Elevation

Water resources

Ocean currents

Topography

Vegetation

Prevailing wind currents

Page 10: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Weather & Climate Starts with the Sun

• The Earth’s surface, clouds, and the moisture in the atmosphere permits the solar radiation to warm the atmosphere

Page 11: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

from IPPC2001

The surface temperature of the

Earth has increased, particularly over the

past 100 years.

Page 12: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Sept. 2001Nov. 10, 2009

Solar Cycles and Sunspots

• Occur in 11-year cycles• 2009-10 sunspot minimum

– Most dramatic in 50 years

• Promoted cooler 2009 summer conditions

5 Jan 201010 Feb 2010

Page 13: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Sunspots Minima Over Past Century

2009

Is this a noticeable impact on our annual weather?

Page 14: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Sunspots and Solar Irradiance

• Lower number of sunspots over time represents less solar output and less warming of the Earth

Page 15: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

El Nino Southern Oscillation (ENSO)

• Sea surface temperature variation – Leads to alteration in atmospheric

circulations

• Alters from warm to cold– Cycle of 2 to 7 years– El Nino (warm) & La Nina (cold)

• Impacts vary– Primary direct precipitation and

temperature impact on Northern Plains in winter

– Indirect (and most significant) impact is influence on jet stream flow (storm track)

El Nino

La Nina

Page 16: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Short-Term Climate & Weather: All About the Jet Stream Pattern

Split Jet Stream Pattern

Page 17: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Global Circulation Centers

• Semi-Permanent features that respond to long-term solar and terrestrial forcing– Annual positioning determines

seasonal weather conditions

• Example - Bermuda High– Dictates moisture flow in

summer east of Rockies– Responds to ocean

temperatures & temperature variations between pole and equator

Page 18: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

‘Storm Track’ is related to the Orientation of the Jet Streams

• Position and orientation controls short-term to seasonal . . .– Temperature– Precipitation

‘Warm’ & Dry

Cool & Wet

LLCold & Wet

Page 19: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Global Weather / Climate Patterns

Dictate Soil Moisture Availability

• Distribution of wet and dry conditions depend upon global weather conditions and/or long-term climatic conditions

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Page 20: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

DailyWeather Conditions• Surface

conditions depend upon upper-level wind currents

• Jet stream orientation defines weather patterns

LL

Page 21: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Making of a Weather Forecasts

• Data from the . . .– Atmosphere– Ocean– Land

• Proper combination of data

• Use of computer models

• Generation of user information

Page 22: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Weather Data

Page 23: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Weather Satellite

Constitutes ~ 96% of data used for weather computer models

Page 24: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Weather Radar

• Detects precipitation-size particles in clouds

• Amount of radar transmitted microwave radiation reflected back provides indication of particle size and concentration

WeatherRadar

DetectedWeather Radar Beam

UndetectedWeather

4-18

Page 25: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Weather Radar

• Readily available to the public as images– Often misinterpreted by the untrained user!!

• Raw data used within weather models

Page 26: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Combination of Heterogeneous Data Fields

Satellite Data

Weather Radar Data

Atmospheric Winds

Surface Conditions

Atmospheric ThermalStructure

Result of Parameter Integration is Joined with a Geospatial Domain to Produce Information for Distribution

= Three-Dimensional Data Assimilation

Mapping of Solution onto Geographic Framework

Forecasts every mile

Page 27: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Improved Weather Prediction Models

C RQ

ZXA

TT TTffU

VS

W

• Models the atmosphere and land surface in terms of mathematical physics

• Utilizes high-speed computing to generate 100s of ‘possible realities’ that can be statistically combined to produce a better ‘estimate’ as to which prediction is correct

Page 28: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Weather Information at Specific LocationsWeather Information at Specific Locations

Weather Information Content

• Precipitation (Type, Rate, Amount)

• Wind Speed & Direction

• Temperature

• Sunshine Amount / Cloud Cover

• Multi-Depth Soil Temperature

• Multi-Depth Soil Moisture Content

• Leaf Wetness

Page 29: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Data … Data … Achilles Heel of Weather Forecasting

• Only 60 years of 3-D global weather analyses1948-2007

• ~50 years of global sea-surface temperatures

• Limited accurate global atmospheric observationsU.S. - 1221 stations with data since 1900> 75% of globe has less than 75 years of continuous

weather observations

• Even today only limited observations are collected from 10-meters to 1,000 meters above the EarthThe most crucial region to understanding the relationship

between the Earth and atmosphereDiminishes ability to provide accurate agricultural weather

forecasts!!

Page 30: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Accuracy versus Predictability

• The closer in time of an event the more likely accuracy will be higher

• The use of longer timeframe prediction is subject to the amount of “risk” one is willing to accept

Page 31: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Use of Weather Predictions• Weather predictions are unregulated and can

be provided by trained and un-trained individuals– Important to understand the difference between a

weathercaster and a meteorologist (or atmospheric scientist)

• No weather prediction system is perfect and likely never will be

• The accuracy and skill of the prediction will always diminish the further into the future the prediction

Page 32: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Varieties of Weather Predictions And Their Risk (Accuracy) • Short-Range Weather Forecasts (0 - 10 Days)

– Highest level of accuracy (lowest risk) … Typical Accuracy > 85%– Deterministic forecasts based upon physical models of the atmosphere

• 30-Day Forecast Maps– Accuracy varies by season and locale with greatest accuracy along

coastal regions … Typical Accuracy > 75% – Combination of deterministic and statistical models of the atmosphere

• Climate (Seasonal) Outlooks– Compilations of recent historical data, climate statistics and forecast

verifications … Typical Accuracy > 60%– Statistical models comparing past patterns with global weather

circulation projections

Page 33: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Expected 2010 Weather

• El Nino conditions of 2009-10 winter shifting to La Nina conditions for second half of 2010– Cooler conditions across Great Basin through

Northern Plains– Wet conditions from Intermountain West through

the Central Plains and Midwest– Hot conditions from Kansas to North Carolina– Dry conditions along Gulf Coast States

Page 34: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Drought Outlook

Page 35: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Early to Mid Summer 2010

Above NormalAbove NormalTemperaturesTemperatures

Above Normal Above Normal PrecipitationPrecipitation

Near Normal Near Normal PrecipitationPrecipitation

Above NormalAbove NormalPrecipitationPrecipitation

Below NormalBelow NormalTemperaturesTemperatures

2010 Weather Expectations

Below NormalBelow NormalPrecipitationPrecipitation

Above NormalAbove NormalTemperaturesTemperatures

Page 36: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Mid-Summer to Mid-Fall 2010

Near NormalNear NormalPrecipitationPrecipitation

Below NormalBelow NormalPrecipitationPrecipitation Above NormalAbove Normal

TemperaturesTemperatures

Near NormalNear NormalTemperaturesTemperatures

Below NormalBelow NormalPrecipitationPrecipitation

Below NormalBelow NormalPrecipitationPrecipitation

2010 Weather Expectations

Above NormalAbove NormalTemperaturesTemperatures

Page 37: The Challenges of Weather Prediction for Agriculture: From Weather Rocks to Supercomputers National Farm Business Management Conference Fargo, North Dakota

Thank You!

Contact Information:

[email protected]

www.meridian-enviro.com

701-792-1800