CIMIS. California Irrigation Management Information System

Similar documents
The TexasET Network and Website User s Manual

The Colorado Climate Center at CSU. residents of the state through its threefold

The Colorado Agricultural no Meteorological Network (CoAgMet) and Crop ET Reports

Eric. W. Harmsen 1, John Mecikalski 2, Vanessa Acaron 3 and Jayson Maldonado 3

Variability of Reference Evapotranspiration Across Nebraska

The Kentucky Mesonet: Entering a New Phase

Eric. W. Harmsen Agricultural and Biosystems Engineering Department, University of Puerto Rico Mayaguez Campus

MxVision WeatherSentry Web Services Content Guide

Google Earth Engine METRIC (GEM) Application for Remote Sensing of Evapotranspiration

An Online Platform for Sustainable Water Management for Ontario Sod Producers

BERMAD Irrigation. BIC2000 Weather Station SYSTEM GUIDE VERSIONS : BIC ; PC 4.90

Innovative Sustainable Technology

Topographic Distance Functions for Interpolation of Meteorological Data

TORO SENTINEL APPLICATION NOTE AN01: ET-BASED PROGRAMMING

North Carolina Climate July 2011

Natural Event Documentation

Evapotranspiration. Rabi H. Mohtar ABE 325

Evapotranspiration monitoring with Meteosat Second Generation satellites: method, products and utility in drought detection.

5B.1 DEVELOPING A REFERENCE CROP EVAPOTRANSPIRATION CLIMATOLOGY FOR THE SOUTHEASTERN UNITED STATES USING THE FAO PENMAN-MONTEITH ESTIMATION TECHNIQUE

AN INTERNATIONAL SOLAR IRRADIANCE DATA INGEST SYSTEM FOR FORECASTING SOLAR POWER AND AGRICULTURAL CROP YIELDS

Estimation of Wavelet Based Spatially Enhanced Evapotranspiration Using Energy Balance Approach

QualiMET 2.0. The new Quality Control System of Deutscher Wetterdienst

N ew York State Agricultural Experiment S tation vnrfx* NYSAES I Publications I Latest Press Releases

AgWeatherNet A Tool for Making Decisions Based on Weather

Leon Creek Watershed October 17-18, 1998 Rainfall Analysis Examination of USGS Gauge Helotes Creek at Helotes, Texas

P1.34 MULTISEASONALVALIDATION OF GOES-BASED INSOLATION ESTIMATES. Jason A. Otkin*, Martha C. Anderson*, and John R. Mecikalski #

SOUTH MOUNTAIN WEATHER STATION: REPORT FOR QUARTER 2 (APRIL JUNE) 2011

Development of High Resolution Gridded Dew Point Data from Regional Networks

Accuracy of Meteonorm ( )

A sensitivity and uncertainty analysis. Ministry of the Walloon Region Agricultural Research Centre

Zachary Holden - US Forest Service Region 1, Missoula MT Alan Swanson University of Montana Dept. of Geography David Affleck University of Montana

Eric. W. Harmsen 1, John Mecikalski 2, Pedro Tosado Cruz 1 Ariel Mercado Vargas 1

A GROUND-BASED PROCEDURE FOR ESTIMATING LATENT HEAT ENERGY FLUXES 1 Eric Harmsen 2, Richard Díaz 3 and Javier Chaparro 3

Monitoring Extreme Weather Events. February 8, 2010

The Delaware Environmental Monitoring & Analysis Center

Mesonet Cattle Comfort Advisor Description Edited May 26, 2016

Evapotranspiration forecast using SWAT model and weather forecast model

AGRICULTURAL WATER RESOURCES DECISION SUPPORT SYSTEM AND EVAPOTRANSPIRATION TOOLBOX. L. Albert Brower, Curtis L. Hartzell, and Steffen P.

Estimating Summertime Evapotranspiration Across Indiana. Principal Investigators: Johnny Nykiel. Ryan Knutson. Jesse Steinweg-Woods

Discoverer Automated Weather System Data Quality Control Report

Lecture 6: Precipitation Averages and Interception

Chapter 2 Agro-meteorological Observatory

Speedwell High Resolution WRF Forecasts. Application

Accessing and Using National Long Term Ecological Research (LTER) Climate and Hydrology Data from ClimDB and HydroDB: A Tutorial

Evapotranspiration and Irrigation Water Requirements for Washington State

Predicting Weather Conditions. Do you have a career as a meteorologist?

Atmospheric Sciences 321. Science of Climate. Lecture 14: Surface Energy Balance Chapter 4

COOP Modernization: NOAA s Environmental Real-time Observation Network in New England, the Southeast and Addressing NIDIS in the West

USGS Water Census Guidelines and Specifications for ET Remote Sensing

Research Note COMPUTER PROGRAM FOR ESTIMATING CROP EVAPOTRANSPIRATION IN PUERTO RICO 1,2. J. Agric. Univ. P.R. 89(1-2): (2005)

1 Introduction. Station Type No. Synoptic/GTS 17 Principal 172 Ordinary 546 Precipitation

Manoa Watershed Water Balance Study: Potential ET

Flux Tower Data Quality Analysis in the North American Monsoon Region

Applications/Users for Improved S2S Forecasts

Accuracy of cotton-planting forecasts assessed in the San Joaquin Valley

SWAT WEATHER DATABASE TOOL

WATER AND ENERGY BALANCE ESTIMATION IN PUERTO RICO USING SATELLITE REMOTE SENSING

Complex Terrain (EDUCT) experiment, conducted by the National Center for Atmospheric

Local Precipitation Variability

Vermont Soil Climate Analysis Network (SCAN) sites at Lye Brook and Mount Mansfield

SUBJECT AREA(S): science, math, solar power, visible light, ultraviolet (UV), infrared (IR), energy, Watt, atmospheric conditions

Trevor Lee Director, Buildings. Grant Edwards PhD Department of Environment and Geography

4.5 Comparison of weather data from the Remote Automated Weather Station network and the North American Regional Reanalysis

Lecture notes: Interception and evapotranspiration

Range Cattle Research and Education Center January CLIMATOLOGICAL REPORT 2016 Range Cattle Research and Education Center.

Alberta Climate Information Service (ACIS) Definitions. Disclaimer. Overview

New Digital Soil Survey Products to Quantify Soil Variability Over Multiple Scales

Meteorological Instruments for Solar Energy

Regional Drought Decision Support System (RDDSS) Project Update and Product Concepts

Range Cattle Research and Education Center January CLIMATOLOGICAL REPORT 2012 Range Cattle Research and Education Center.

Sensing Strategies and Software Tools to Help Farmers Adapt to a Changing Climate

Correcting Real Time Automatic Weather Stations Data Through Quality Checks and Analysis

Recent Improvement of Integrated Observation Systems in JMA

Snow Melt with the Land Climate Boundary Condition

HOW TO GUIDE. Loading climate data from online database

Land Data Assimilation at NCEP NLDAS Project Overview, ECMWF HEPEX 2004

Country Report for Japan (Submitted by Kenji Akaeda, Japan Meteorological Agency)

SAMPLE. SITE SPECIFIC WEATHER ANALYSIS Wind Report. Robinson, Smith & Walsh. John Smith REFERENCE:

Available data and products for Agricultural purpose at the National Meteorological Agency of Ethiopia

Weather Stations. Evaluation copy. 9. Post live weather data on the school s web site for students, faculty and community.

Appendix C. AMEC Evaluation of Zuni PPIW. Appendix C. Page C-1 of 34

Non-Acoustical Inputs

2016 EXPLANATION OF OBSERVATIONS BY REFERENCE NUMBER

Urban Forest Effects-Dry Deposition (UFORE D) Model Enhancements. Satoshi Hirabayashi

CSO Climate Data Rescue Project Formal Statistics Liaison Group June 12th, 2018

NEW CGMS BASELINE FOR THE SPACE-BASED GOS. (Submitted by the WMO Secretariat) Summary and Purpose of Document

Weather versus Climate: What is the difference? Sources of Weather Information

AgWeatherNet and WA Climate Nic Loyd Meteorologist and Associate in Research AgWeatherNet

Module 11: Meteorology Topic 3 Content: Weather Instruments Notes

Operational Perspectives on Hydrologic Model Data Assimilation

Texas Alliance of Groundwater Districts Annual Summit

Product Description. 1 of 6

SAMPLE. SITE SPECIFIC WEATHER ANALYSIS Wind Report. Robinson, Smith & Walsh. John Smith. July 1, 2017 REFERENCE: 1 Maple Street, Houston, TX 77034

Texas Statewide Mesonet Network (TexMesonet) Dr. Kantave Greene 11/15/17

Counselor s Name: Counselor s Ph #: 1) Define meteorology. Explain how the weather affects farmers, sailors, aviators,

Walloon Agricultural Research Centre (CRA-W) Meteorological data and lateblight modeling

KEY WORDS: Palmer Meteorological Drought Index, SWAP, Kriging spatial analysis and Digital Map.

Regional Consultation on Climate Services at the National Level for South East Europe Antalya, Turkey November

RainMachine Mini- 8 Quick- Start Guide

Gridding of precipitation and air temperature observations in Belgium. Michel Journée Royal Meteorological Institute of Belgium (RMI)

Transcription:

CIMIS California Irrigation Management Information System

What is CIMIS? A network of over 130 fully automated weather stations that collect weather data throughout California and provide estimates of Reference Evapotranspiration (ETo) to the users

What is CIMIS? CIMIS calculates estimates of grass reference evapotranspiration (ETo) Evapotranspiration (ET) is the loss of water to the atmosphere by the combined processes of evaporation (from soil and plant surfaces) and transpiration (from plant tissues). It is an indicator of how much water your crops, lawn, garden, and trees need for healthy growth and productivity.

What is CIMIS? CIMIS was designed to assist with efficient water and energy use. CIMIS helps agricultural growers and landscape managers administering parks, golf courses and other landscapes develop water budgets for determining when to irrigate and how much water to apply.

Who uses CIMIS data? Growers. Consultants. Water agencies. Public agencies. Home owners. Researchers. Firefighters. Investigators

Anemometer Pyranometer Wind Vane Rain Gauge Temperature/ Relative Humidity Sensor Solar Panel Soil Temperature Probe

How does CIMIS work? Dataloggers poll the sensors every minute. Solar radiation (Rs), air temperature (Ta), wind speed (U2), and Relative Humidity (RH) data is collected. Additionally precipitation (P), soil temperature (Ts) and wind direction are measured. Sixty minute-by-minute readings are averaged/totaled.

How does CIMIS work? Daily maximum, minimum, average, and total values are calculated by the end of each day. Hourly and daily values are stored in the dataloggers. The CIMIS computer calls stations every 6 hours and retrieves data. Data goes through quality control (QC) procedures. Measured and calculated parameters are stored in the CIMIS database. Reference evapotranspiration (ETo) is calculated. Final data is posted on the CIMIS website. http://wwwcimis.water.ca.gov/cimis/data.jsp

Whats new? Hourly data updated every 6 hours Spatial CIMIS My CIMIS Email scheduler

Necessary to select the end date as today s date. Default setting is yesterday s date.

Spatial cimis wwwcimis.water.ca.gov/cimis/cimisatmodel.jsp

Spatial CIMIS Because of California's diverse landmass and climate, many locations within the state lack a representative CIMIS station CIMIS initiated a project with the UC Davis to explore the potential for using remotely sensed data for the estimation of ETo (to mitigate the spatial data gap). Geostationary Operational Environmental Satellites (GOES) were selected..

The Department of Water Resources (DWR) formed an advisory committee comprised of individuals with expertise in remote sensing, GIS, modeling, and water management from DWR and UCD. The committee met, on an as needed basis, to discuss new developments and plan future actions. After thorough research, the team decided to use combinations of data derived from satellites and interpolated between CIMIS station measurements to estimate ETo at a 2 km spatial resolution.

Daily reference evapotranspiration (ETo) at 2 km spatial resolution was calculated statewide using the American Society of Civil Engineers version of the Penman-Monteith equation (ASCE-PM). Required input parameters for the ASCE-PM ETo equation are solar radiation (Rs), air temperature (Ta), relative humidity (RH), and wind speed at two meters height (U2). These parameters are estimated at each pixel (2 km square grid) using various methods.

Daily Rs (solar radiation) is generated from the visible band of the National Oceanic and Atmospheric Administration's (NOAA) Geostationary Operational Environmental Satellite (GOES) using the Heliosat-II model.

Air temperature, relative humidity, and wind speed values at each pixel were obtained by interpolating between point measurements from the CIMIS stations. Two interpolation methods, DayMet and Spline, were selected based on accuracy of results, code availability, and computational efficiency.

Daily Rs from GOES Air Temperature (Ta), Relative Humidity (RH), Wind speed (U2) collected from CIMIS weather stations. (Interpolated) Spatial CIMIS ET o

Daily CIMIS ET o Map

July 15, 2010

Daily solar radiation map

July 16, 2010

Spatial CIMIS Map Report

Or english

7 37.24-120.26 7/16/2010 0.31 652.22 Point Lat Long Date CIMIS ETo (in) (in/day) Sol Rad (Ly/day) 1 35.86-119.21 7/14/2010 0.28 690.77 1 35.86-119.21 7/15/2010 0.3 686.21 1 35.86-119.21 7/16/2010 0.26 564.07 2 35.66-120.58 7/14/2010 0.27 720.89 2 35.66-120.58 7/15/2010 0.29 713.69 2 35.66-120.58 7/16/2010 0.29 703.92 3 35.22-119 7/14/2010 0.26 690.65 3 35.22-119 7/15/2010 0.27 688.84 3 35.22-119 7/16/2010 0.21 409.64 4 36.78-120.75 7/14/2010 0.28 705.06 4 36.78-120.75 7/15/2010 0.29 668.94 4 36.78-120.75 7/16/2010 0.3 654.09 5 37.71-121.14 7/14/2010 0.27 689.35 5 37.71-121.14 7/15/2010 0.29 688.81 5 37.71-121.14 7/16/2010 0.29 681.51 6 36.6-119.91 7/14/2010 0.3 688.66 6 36.6-119.91 7/15/2010 0.32 687.96 6 36.6-119.91 7/16/2010 0.32 681.71 7 37.24-120.26 7/14/2010 0.29 684.39 7 37.24-120.26 7/15/2010 0.3 690.48

60 Point 1 52.48 inches 169 Porterville 50.59 inches 182 Delano 52.48 inches 50 40 30 point 1 169 Porterville 182 Delano 20 10 0 1/1/2010 2/1/2010 3/1/2010 4/1/2010 5/1/2010 6/1/2010 7/1/2010 8/1/2010 9/1/2010 10/1/2010 11/1/2010 12/1/2010

My CIMIS

sewert@water.ca.gov

For More Information: call 1-800-922-4647 Or Visit Us Online At: www.cimis.water.ca.gov Irrigation Management Tool And More! What is CIMIS? Increase Energy and Water Use Efficiency!