https:\/\/www.weather.gov\/ama\/WindChill<\/a><\/p>\n <\/p>\n
* <\/strong>Minimum Dewpoint<\/strong><\/span> and\u00a0Minimum Wet-Bulb<\/strong><\/span> temperatures<\/strong> are the lowest hourly values within a 3-hour, 24-hour, or 7-day period.
\n–\u00a0 \u00a0 \u00a0Dewpoint is the temperature to which air must be cooled for saturation to occur at 2-meter height.
\n–\u00a0 \u00a0 The wet-bulb temperature (WBT) is the temperature read by a thermometer covered in water-soaked cloth over which air is passed.\u00a0 At 100% relative humidity, the wet-bulb temperature is equal to the air temperature (aka the “dry-bulb” temperature).\u00a0 At less than 100% relative humidity, the wet-bulb temperature is lower than the air temperature.\u00a0 Wet Bulb temperature is useful for frost and freeze prediction as a measure of how cold the air could get before more lowering is resisted by condensation of moisture out of the air.<\/p>\n
\n* <\/strong>Min 4-inch temperature<\/strong><\/span>
\n–\u00a0 \u00a0 \u00a0The estimated minimum temperature in the middle of a short crop canopy at 4 inches above ground level.\u00a0 The 4-inch temperature is based on measurements taken in the middle of lowbush blueberry plant canopies.\u00a0 It is presumably applicable for cranberry canopy temperature.\u00a0 It may also be applicable as a relative indicator for temperatures experienced by low growing vegetables and strawberries in soil without plastic mulch.\u00a0 \u00a0It is not applicable for crops grown in black plastic mulch or underneath a row cover.
\n–\u00a0 \u00a0 \u00a0In the 48-hour forecast, the Min 4-inch temperature is the lowest value in each 3-hour period ending at the specified hour.\u00a0 In the 10-day forecast and 7-day observation tables, it is the lowest 4-inch temperature within each 24-hour period.\u00a0 The 4-inch temperature is calculated for use in models to estimate fungal disease low-canopy crops.\u00a0 It may also serve as an alternate measure of frost risk to those crops.\u00a0 However, growers are cautioned to put more emphasis on frost\/freeze risk estimates developed from standard height measurements and then validated in field trials for application to low-canopy crops.\u00a0 An example is the Poling (2008) frost\/freeze model provided in Ag-Radar.
\n–\u00a0 \u00a0 \u00a0The Min 4-inch temperature is estimated from a combination of 2M air temperature, relative humidity, wind speed, and solar radiation.<\/p>\n
\n* Soil Temperature
\n<\/u><\/strong>“2-inch”= Average temperature from the surface down to 4-inch soil depth.
\n“10-inch” = Average temperature from 4-inch depth down to 16-inches.<\/p>\n <\/p>\n
* <\/strong>Relative Humidity (RH)
\n<\/strong><\/span>–\u00a0 \u00a0 \u00a0The amount of water vapor in the air relative to the amount that the air can carry before becoming saturated at the current temperature and pressure.\u00a0 RH is expressed as a percentage.\u00a0 At RH of 100% the air is saturated and at its dewpoint, which is the temperature at which moisture condenses out of the air.<\/p>\n <\/p>\n
* PRECIPITATION
\n<\/u><\/strong>–\u00a0 \u00a0 \u00a0 Amount of liquid water equivalent received as rain, snow, or ice.
\n
\n* PRECIP PROB<\/strong> = Probability of receiving at least 0.01 inch of precipitation during a 3, 12, or 24-hour period (3-hr Precip Prob, 12-hr Precip Prob, 24-hr Precip Prob).<\/p>\n*\u00a0<\/strong>Precip Hrs\/Day <\/strong>= Number of hours per day with observed or expected new measurable precipitation (over 0.01″).\u00a0 Values range from 0 hours (i.e. no precipitation during that 24-hour period), up to a maximum of 24 hours.<\/p>\n* Precip Hours E\/M\/L\u00a0 <\/strong>= Number of hours with precipitation arriving in the E<\/strong>arly(1am-8am), M<\/strong>id(9am-4pm), or L<\/strong>ate(5pm-12am) hours of the day.
\nThus the values range from 0 to a maximum of 8 hours, i.e. each of the hours in the 8-hour period showed measurable precipitation.
\nA single \u201c0\u201d means that the values for all three periods, (i.e. the Early, Middle & Late hours), were all = 0<\/p>\n
\n* Precip Type <\/span><\/strong>= Type of precipitation that is predominant during the time period.\u00a0 If there is no precipitation, a null value “\u2014” is shown.
\nThe different types of precipitation are:<\/p>\n–\u00a0 \u00a0 \u00a0 R = Rain<\/strong>:\u00a0 Droplets larger than 0.5mm diameter.\u00a0 Moderate rain fall rate is 0.10 to 0.30 inches per hour.\u00a0 \u00a0Rain is water in liquid form.\u00a0 Rain usually refers to precipitation from some type of flat stratus cloud formed by the two overlapping air masses with different temperature or moisture characteristics called a weather front.\u00a0 \u00a0Frontal clouds may stretch for hundreds of miles.\u00a0 Frontal rain usually has a duration of several hours up to one or more days.<\/p>\n–\u00a0 \u00a0 \u00a0RS = Rain showers<\/strong>.\u00a0 Rain showers consist of rain from convective puffy cumulus.\u00a0 These clouds are much narrower than a weather front, and the rain they produce comes from individual clouds.\u00a0 Thus, rain showers are more localized, affecting smaller and separate areas at any specific point in time.\u00a0 Showers from cumulus clouds tend to be sudden and brief, lasting from minutes to hours, whereas frontal rain can last for days.<\/span><\/p>\n–\u00a0 \u00a0 \u00a0D = Drizzle<\/strong>.\u00a0 Drizzle is liquid precipitation in drops smaller than 0.5mm diameter.\u00a0 \u00a0Because of the small droplet size, the accumulation rate from drizzle is much less than from rain.\u00a0 Accumulation from a moderate drizzle is only 0.01 to 0.02 inches per hour.<\/p>\n–\u00a0 \u00a0 \u00a0T = Thunderstorm <\/strong>= A rain-bearing cloud that also produces lightning.\u00a0 Thunderstorms typically produce heavy rain for a brief period, anywhere from 30 minutes to an hour.\u00a0 They develop in warm, humid conditions.\u00a0 Lightning often strikes outside the area of heavy rain, as far as 10 miles away from any rainfall.\u00a0 That is about the distance you can hear thunder from the storm.\u00a0 Whether or not you can see the actual lightning flash, if you can hear thunder, you are at risk of being struck.\u00a0 The National Weather Service recommends \u201cWhen Thunder Roars, Go Indoors . . .and stay there at least 30 minutes after the last clap of thunder.\u201d<\/em><\/strong><\/p>\n–\u00a0 \u00a0 \u00a0T+ = Severe Thunderstorms.\u00a0 <\/strong>A thunderstorm that produces a tornado, winds of at least 58 mph, or hail at least 1″ in diameter (the size a Quarter coin).\u00a0 A severe thunderstorm creates risk of structural wind damage.\u00a0 \u00a0A thunderstorm with wind speed >= 40 mph or hail of >= \u00bd” diameter (> than pea-sized) is defined as approaching severe.<\/p>\n–\u00a0 \u00a0 \u00a0S = Snow.\u00a0 <\/strong>Frozen water vapor that falls in flakes.\u00a0 The Snow category indicates longer duration of snowfall and higher accumulation than Snow Showers.<\/p>\n–\u00a0 \u00a0 \u00a0SS = Snow showers.\u00a0 <\/strong>A short duration of moderate snowfall.\u00a0 Some accumulation is possible.<\/p>\n–\u00a0 \u00a0 \u00a0WM = W<\/strong>intry M<\/strong>ix of rain & snow.\u00a0 The weather phenomenon that almost nobody likes.<\/p>\n–\u00a0\u00a0 \u00a0 Z = Sleet.\u00a0 <\/strong>Rain drops that freeze into pellets of ice before reaching the ground.\u00a0 Sleet usually bounces when hitting a surface and does not stick to objects.\u00a0 However, it can accumulate and cause dangerous driving conditions.<\/p>\n–\u00a0 \u00a0 \u00a0ZR = Freezing rain.\u00a0 <\/strong>Rain that falls onto a surface where the temperature is below freezing.\u00a0 This causes the rain to freeze on contact with trees, power lines, cars and roads.\u00a0 This coating or glaze of ice causes serious travel problems, even with very small accumulations.<\/p>\n <\/p>\n
* <\/strong>WIND Speed<\/strong><\/span>
\n–\u00a0 \u00a0 \u00a0Sustained wind speed in miles per hour at 6.5 feet (2 meters) above ground. The value is derived as a fixed ratio (0.748) of the standard 10-meter wind speed.\u00a0 Wind speed values do not account for local topography and wind breaks.\u00a0 \u00a0In the 48-hour forecast, wind speed is the value expected at the start of the indicated hour. For the 10-day forecast and 7-day day observations, the wind speed is the average of 24 hourly values from midnight to midnight on each date.
\n
\n* Max Gust<\/strong> = Maximum wind speed lasting for at least several seconds during a 3-hour (48-hour forecast) or 24-hour period (10-day forecast and 7-day observations).\u00a0 Wind gust duration is usually less than 20 seconds.
\n
\n* Wind Direction<\/strong> = Compass direction from which wind is coming.\u00a0 Tables show the average direction for a 3-hour or 24-hour period.<\/p>\n <\/p>\n
* CLOUD Cover<\/u><\/strong> = Portion of the sky covered by clouds.
\nCLE = Clear 0-10%
\nFEW = Few 11-30%
\nSCT = Scattered 31-60%
\nCDY = Mostly Cloudy 61-90%
\nOVC = Overcast 91-100%<\/p>\n <\/p>\n
* SOLAR Radiation<\/u><\/strong>
\n–\u00a0 \u00a0 \u00a0In the 48-Hour Forecast, the “3-hr Solar Rad” = Watts per square meter of shortwave radiation received at ground level in 3 hours.
\n–\u00a0 \u00a0 \u00a0In the 10-Day Forecast and 7-Day Observation tables, Solar Rad = Kilowatts square meter in 24 hours.
\n
\n* Solar Radiation Pct<\/strong> = Percent of the total potential clear-sky downward shortwave radiation (for that date and location) forecast or observed at ground level.<\/p>\n <\/p>\n
* EVAPOTRANS
\n<\/u><\/strong>–\u00a0 \u00a0 \u00a0Amount of water in inches of rain equivalent removed by evapotranspiration (ET) by short-crop plants with an approximate height of 5 inches similar to full cover grasses; with full sun and wind exposure; and with well-watered soil such that ET is not limited by availability of soil moisture.\u00a0 ET is determined by temperature, wind, relative humidity.\u00a0 Both evaporation and transpiration are presumably zero for days on which maximum temperature is below freezing, but values are still shown to represent possible soil moisture losses.\u00a0 Those small ET values may not be agronomically or horticulturally meaningful.<\/p>\n*\u00a0 ET vs. Normal <\/strong>= The difference in the amount of daily evapotranspiration compared to the climatic average normal amount of ET for that date and location.\u00a0 Measured in 0.01 inch increments.<\/p>\n <\/p>\n
* Soil Moisture<\/u>\u00a0<\/strong>
\n–\u00a0 \u00a0 \u00a0Volumetric water content, which is the total volume of water in the soil divided by the total volume of all soil components.\u00a0 The maximum value is often around 50%, but ranges from 40 to 60% depending on the porosity of the predominant soil type used for a location.
\n–\u00a0 \u00a0 \u00a0The values shown are general estimates that do not account for soil type variation within a site.\u00a0 Thus, they serve as a relative, but not an absolute indicator.\u00a0 On-site soil moisture measurement is essential for managing crop water needs.\u00a0 With experience gained by comparing the weather report values to on-site measurements, it may be possible to use the forecast soil moisture values to estimate future soil moisture.\u00a0 But observed soil moisture values should only be considered a rough approximation and should be replaced by actual on-site measurements in making water use decisions.
\n–\u00a0 \u00a0 \u00a02-inch = Average percent by volume of soil moisture from the surface down to 4-inch soil depth.
\n–\u00a0 \u00a0 \u00a010-inch = Average percent by volume soil moisture from 4-inch depth down to 16-inches.<\/p>\n <\/p>\n
* <\/strong>LEAF WETNESS<\/strong><\/span>\u00a0 \u00a0(LW)
\n<\/strong><\/span>–\u00a0 \u00a0 \u00a0 LW is a measure for free moisture on the surface of foliage.\u00a0 LW is categorized as either “Wet” or “Dry” by the CART\/SLD\/Wind model as defined in Kim et al. 2002.\u00a0 That model was validated by comparison to on-site measurements by painted leaf wetness sensors placed at 0.3 meter (12 inches) above turfgrass.\u00a0 The model was adjusted to match on-site measurements where an hour was defined as “Wet” if the sensor detected free moisture for more than 30 minutes, otherwise the hour was categorized as “Dry”.\u00a0 The CART\/SLD\/Wind model serves as a standardized measure to provide LW values that are independent of any particular plant canopy, and have been applied to disease models for apples, tomatoes, and other crops.\u00a0 As an estimate for the number of leaf wetness hours, it is considered more accurate than proxies for leaf wetness such as the number of hours above 90% relative humidity.\u00a0 As a measure based on standardized meteorological values, it avoids the substantial and frequent error inherent in using analog sensors subject to variation caused by placement, orientation,\u00a0 mechanical disruption, sensor surface contamination, calibration, and other sources of sensor to sensor variation.\u00a0 The use of standardized weather input values to estimate leaf wetness also makes possible leaf wetness forecasts, whereas analog sensors can only record what has already happened.
\n–\u00a0 \u00a0 Even though CART\/SLD\/Wind model is more accurate than 90+% RH hours at estimating leaf wetness duration, 90+% RH hours have been correlated with growth of some fungal pathogens.\u00a0 Fore that reason, 90+% RH hours are used as a predictor for those fungi instead of LW hours.<\/p>\n <\/p>\n
\n<\/u>* GDD = Growing degree days<\/u><\/strong>
\n–\u00a0 \u00a0 \u00a0 \u00a0<\/em>GDD calculated by the simple “(max T + min T) \/ 2\u00a0 \u2013 50F” method.
\nSee AgRadar Tools for other degree-days calculated and accumulated for different base temperatures and methods for use in species-specific crop and pest development models.<\/p>\n <\/p>\n
* LIVESTOCK STRESS
\n<\/u><\/strong>–\u00a0 \u00a0 \u00a0 \u00a0The combined effects of air temperature, relative humidity, wind speed, and solar radiation on animal health, comfort, behavior, maintenance, and productivity.\u00a0 Similar to Apparent Temperature described above for humans to estimate heat and cold stress, but tuned for animals instead of humans.\u00a0 The livestock stress ratings are targetted for dairy and beef cattle, but also applicable to other domestic livestock species.
\n–\u00a0 \u00a0 \u00a0 \u00a0The values<\/p>\n\n- SEN = Sensitive animals<\/strong>.\u00a0 Newborn or young animals.\u00a0 Mature animals that have been raised in sheltered or managed environments.\u00a0 Animals that are not adapted to the outside environment.<\/li>\n
- RST = Resistant animals.<\/strong>\u00a0 Mature animals that have had time to acclimate to outdoor conditions by\u00a0additional tissue or insulation or both;\u00a0 and are receiving nutrient supplies compatible with the level of environmental exposure.<\/li>\n<\/ul>\n
–\u00a0 \u00a0 \u00a0 Animal characteristics that influence animal sensitivity include the amount of prior time for adaptation to hot or cold temperatures, age, size, genetics, body condition, body fat, coat insulation.\u00a0 Access to shade, moving air, and water reduce heat stress.\u00a0 Access to direct sun, protection from wind, and feed reduce cold stress.
\n–\u00a0 \u00a0 \u00a0 Wetting of animal coats works to suppress overheating. \u00a0Wetting exacerbates cold stress.\u00a0 In cold conditions, excessive moisture contributes greatly to poor drying of the animal and increases energy requirements.\u00a0 The Livestock Temperature values and ratings do not account for the effect of wet hair coats and wet surface conditions.
\n–\u00a0 \u00a0 \u00a0 \u00a0For livestock reared in uncovered outside facilities, pen and barn floor surfaces can act as significant heat emitters or heat sinks.
\nUnshaded sealed surfaces or packed soil in high traffic areas can radiate a significant amount of heat.
\nVegetative or shaded surfaces tend to remain near ambient air temperature.
\n–\u00a0 \u00a0 \u00a0 Within enclosures, floor and wall temperatures, and lighting can affect temperature stress.
\n–\u00a0 \u00a0 \u00a0 For well-acclimated or heat-tolerant species (such as crossbred Bos Taurus x Bos indicus), threshold values would shift clown 1 or 2 categories.\u00a0 The heat stress ratings shown have not been adjusted downward, are as published by Mader et al. 2010, and are presumably the best fit for livestock in the northeastern U.S.
\n–\u00a0 \u00a0 \u00a0 The “livestock temperature” estimates used to assign ratings are based on the most extreme of two values:\u00a0 the CCI (Comprehensive Comfort Index) as per Mader et al. 2010, and the THI (Temperature Humidity Index) as per Gaughan et al. 2008.\u00a0 Additional heat stress measures as per Chen et al. 2020 and interpretation of livestock stress values for effect on DMI and productivity will be displayed in AgRadar Tools (Livestock).<\/p>\n
\n- Livestock stress ratings <\/strong>(adapted from Mader et al. 2010)
\n<\/strong>XXX<\/strong> = Extreme-Danger from heat or cold stress.
\nEXT<\/strong> = Extreme heat or cold stress
\nSEV<\/strong> = Severe heat or cold stress
\nMod<\/strong> = Moderate heat or cold stress
\nlow<\/strong> = Low heat stress or cold stress.
\n0 <\/strong>= No environmental stress.<\/li>\n<\/ul>\nThe 48-hour forecast table shows the highest livestock stress rating within each 3-hour interval.
\nThe 10-Day Forecast and 7-Day Observation tables show the highest livestock stress rating for each 24 hour period.<\/p>\n
\n- Livestock stress impacts
\nXXX: Extreme-Danger heat stress – <\/strong>High probability for livestock deaths, particularly for animals being finished, unless mitigation strategies are implemented such as increasing water availability, providing shade, or sprinkling.\u00a0
\nEXT: Extreme heat stress<\/strong> – Serious risk of livestock deaths. All domestic livestock display significant dry matter intake (DMI) reduction.
\nSEV: Severe heat stress<\/strong> – Livestock deaths due to heat stress possible.
\nlow heat stress<\/strong> – Possible decline of DMI or productivity for mature domestic livestock, including cattle, sheep, swine, and poultry.
\nlow cold stress <\/strong>– Most species increase DMI due to mild cold stress.
\nMod: Moderate cold stress<\/strong> – Most species display a significant increase in DMI.<\/li>\n<\/ul>\n <\/p>\n
\n- Livestock Temp. F<\/u><\/strong>\u00a0 \u00a0 \u00a0Sensitive<\/u>\u00a0 \u00a0 \u00a0Resistant<\/u><\/strong>
\n<\/b>Heat stress<\/u>
\n113 +\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 XXX\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0XXX\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 <\/strong>
\n104\u00a0 — 113\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 EXT\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 EXT\u00a0 \u00a0 <\/strong>
\n95\u00a0 \u00a0—\u00a0 104\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 SEV\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 SEV<\/strong>
\n86\u00a0 \u00a0—\u00a0 \u00a0 95\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Mod\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Mod
\n77\u00a0 \u00a0—\u00a0 \u00a0 86\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 low\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0low
\n72\u00a0 \u00a0—\u00a0 \u00a0 77\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 low\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 0
\n50\u00a0 \u00a0—\u00a0 \u00a0 72\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 0 (see note)\u00a0 \u00a0 \u00a00
\nCold stress\u00a0\u00a0<\/u>
\n32\u00a0 \u00a0—\u00a0 \u00a0 50\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 low\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 0
\n23\u00a0 \u00a0—\u00a0 \u00a0 32\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Mod\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0low
\n14\u00a0 \u00a0—\u00a0 \u00a0 23\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 SEV\u00a0<\/strong>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0low
\n\u00a0 \u00a05\u00a0 —\u00a0 \u00a0 14\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 EXT <\/strong>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Mod
\n\u00a0 -4\u00a0 —\u00a0 \u00a0 \u00a0 5\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 XXX <\/strong>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Mod
\n-22\u00a0 \u00a0—\u00a0 \u00a0 -4\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0XXX <\/strong>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0SEV<\/strong>
\n-40\u00a0 \u00a0—\u00a0 -22\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0XXX\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 EXT
\n<\/strong>< -40\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0XXX\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 XXX<\/strong><\/li>\n<\/ul>\n\u00a0 \u00a0 \u00a0 \u00a0Note:<\/strong> Newborn and very young animals may experience cold stress at livestock temperatures as high as 59F.<\/p>\n <\/p>\n
<\/p>\n
DRYING and SPRAYING Index<\/u><\/strong>\u00a0= Rough indicators for suitability of conditions for hay drying or sprayer application.
\n0…..1…..2…..3…..4…..5…..6…..7…..8…..9…..10
\nLess favorable\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 More favorable<\/p>\n
\n* Drying Index<\/strong> \u2013 A rough measure of the drying potential for cut hay and other materials due to surface evaporation.\u00a0 It is based on vapor pressure deficit, wind speed, and solar radiation.\u00a0 The drying index differs from ET evapotranspiration because it only includes physical evaporation does not include metabolically-driven transpiration.
\n–\u00a0 \u00a0 \u00a0 \u00a0Values are scored from 0 (no drying) to 10 (very high drying potential).
\n–\u00a0 \u00a0 \u00a0 \u00a0The values shown are the average for each 3-hour or 24-hour period.<\/p>\n* Spraying Index<\/strong> \u2013 A rough measure of the suitability of weather conditions for making airblast sprayer applications.
\n–\u00a0 \u00a0 \u00a0 Optimum wind speed at 2 meters above ground is defined as between 3 and 9 miles per hour.\u00a0 Lower or higher wind speeds are scored progressively lower.\u00a0 (Lower speeds score low because of potential for inversion conditions that can trap and carry spray drift long horizontal distance.)
\n–\u00a0 \u00a0 \u00a0 Optimum temperature is between 40 and 80 F.\u00a0 Optimum humidity is 40 to 80 %.\u00a0 Lower or higher values score progressively lower.
\n–\u00a0 \u00a0 \u00a0 Values are scored from 0 (conditions not suitable for spraying) to 10 (ideal spraying conditions in every category).\u00a0\u00a0The lowest indicator value constrains the combined rating for each hour.
\n–\u00a0 \u00a0 \u00a0 The values shown are the average hourly values for each 3-hour or 24-hour period.<\/p>\n <\/p>\n
Download hourly data files:
\n<\/strong>Each site has Excel-compatible CSV data files with hourly values for each variable.
\n<\/strong>https:\/\/mco.umaine.edu\/wxag\/<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"UCT = Universal Coordinate Time (i.e. aka Greenwich Mean Time) of the Global Forecast System update cycle and other databases used as data sources. UCT = Eastern Daylight Savings Time + 4 hours from mid-March to early-November, or Eastern Standard Time + 5 hours from early-November to mid-March. F = degrees Fahrenheit;\u00a0 mph = miles […]<\/p>\n","protected":false},"author":133,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-19261","page","type-page","status-publish","hentry"],"yoast_head":"\n
AgEye Weather Report KEY - Cooperative Extension: Insect Pests, Ticks and Plant Diseases - University of Maine Cooperative Extension<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/extension.umaine.edu\/ipm\/ageye-weather-report-key\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AgEye Weather Report KEY - Cooperative Extension: Insect Pests, Ticks and Plant Diseases - University of Maine Cooperative Extension\" \/>\n<meta property=\"og:description\" content=\"UCT = Universal Coordinate Time (i.e. aka Greenwich Mean Time) of the Global Forecast System update cycle and other databases used as data sources. UCT = Eastern Daylight Savings Time + 4 hours from mid-March to early-November, or Eastern Standard Time + 5 hours from early-November to mid-March. 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