Category Archives: learning

New York State expertise for NEWA tools and resources

Last updated 3/19/19

NEWA offers 23 different fruit and vegetable models and all use real-time weather data to generate research-based crop guidelines for growers in New York State and beyond. Extension specialists across the state provide expertise in different commodity areas and are available to provide management expertise and consultation regarding the utilization of NEWA guidelines on your farm.

Use this guide to locate a fruit or vegetable specialist in your region of New York. Click the hyperlinks to learn more about a specific NEWA model, extension program, or commodity specialist.

NEWA Apple Resources

Apple diseases. Fire blight, apple scab, sooty blotch fly speck.

Apple insects. Apple maggot, codling moth, obliquebanded leafroller, oriental fruit moth, plum curculio, San Jose scale, spotted tentiform leafminer.

Apple management. Blossom thinning, carbohydrate fruit thinning, irrigation modeling.

Affiliation Name
New York State IPM Program Julie Carroll
Cornell Cooperative Extension Lake Ontario Fruit Team Craig Kahlke
Mario Sazo
Tessa Grasswitz
Cornell Cooperative Extension Eastern New York Horticulture Team Mike Basedow (northern NY)
Dan Donahue (Hudson Valley)

NEWA Grape resources

Grape diseases. Black rot, phomopsis, powdery mildew, downy mildew.

Grape insects. Grape berry moth

Affiliation Name
Cornell Cooperative Extension Lake Erie Regional Grape Program Tim Weigle (New York State IPM Program)
Jennifer Russo
Andy Muza (Penn State Extension)
Cornell Cooperative Extension Finger Lakes Grape Program Hans Walter-Peterson
Cornell Cooperative Extension Eastern New York Horticulture Program Jim Meyers
Cornell Cooperative Extension of Suffolk County Alice Wise

NEWA Vegetable resources

Vegetable diseases. Onion diseases, potato diseases, tomato diseases.

Vegetable insects. Cabbage maggot, onion maggot.

Affiliation Name
New York State IPM Program Abby Seaman
Cornell Cooperative Extension Vegetable Program Elizabeth Buck
Christie Hoepting
Judd Reid
Cornell Cooperative Extension Eastern New York Horticulture Program Chuck Bornt
Teresa Rusinek
Maire Ullrich
Cornell Cooperative Extension of Suffolk County Sandra Menasha

 

NEWA off-hours incident reporting

The recent launch of our NEWA help desk isn’t simply a way to send us an email or casual message. The real strength of this system was put into action over the weekend when apple disease models glitched. What happens after hours or during the weekend when something goes wrong? How can you avoid the inevitable frustration that comes when green tip is less than a day away, your apple scab forecast is getting testy, and it’s 5AM on a Saturday morning?

Use the help desk to send a request right away.

Every time the NEWA help desk receives a new request outside of normal business hours (8AM-5PM EST Monday – Friday) I am instantly notified. If the issue is urgent I take appropriate action and initiate an immediate response.

This weekend is a good case study. We received an incident notification from a grower who used the website ‘Help‘ link at 11:00AM EST Saturday. A response was initiated and NRCC programmers brought the issue to resolution at 4:30PM EST the same day.

The response time would have been much longer If we didn’t have this new channel for reporting issues.Downtime with the help desk was 4.5 hours.

Without the help desk, downtime could have been >48 hours. It’s likely the error would not have been resolved until sometime Monday morning.

Do not wait to contact the NEWA help desk if you are experiencing problems. We will send confirmation of your question or issue and will follow up as we learn more or find a resolution. You may be the first to encounter a problem. Reporting it to us will expedite a solution.

There are two easy ways to send us a message. Send a message to support@newa.zendesk.com. Alternately, use the ‘Help‘ link in our website navigation bar.

In either case, provide a detailed message explaining your issue. Also include screenshots as attachments (if possible and applicable) along with any other description information such model, dates of interest, or weather station used.

If you have comments or questions about this article…send a message to the NEWA help desk.

All the best.

Dan Olmstead | NEWA Coordinator

NEWA quality control

How does NEWA maintain its reliability? Uninterrupted model results during the growing season are critical for successful IPM and crop management. Accurate historical data are also important. Technology gremlins play games with our weather stations from time to time, so what can be done? Several methods of data quality control are used to maintain the integrity of information coming out of NEWA.

NEWA models utilize backup data

Most of the time, weather stations behave themselves. But once in a while, even the most well-maintained unit experiences a data outage. This might be due to a power loss, poor internet connection, or sensor failure. When a weather station is added to NEWA, a ‘sister’ station is assigned as a backup data source. Staff at the Northeast Regional Climate Center (NRCC) choose an alternate back up location based on similarities in microclimate and data output compared to the new location, rather than physical proximity alone.

If a station stops reporting data for a short period of time, NEWA will automatically substitute ‘sister’ station data into models so they continue to function properly. Models quickly become inaccurate and provide erroneous assessments without this important quality control measure. Model data substitution ensures the end user receives uninterrupted model results that are reasonably accurate.

Weather station problems are usually resolved quickly. But if a station fails to report for a period of more than three weeks, it is placed on ‘inactive’ status. At that point, models can no longer be accessed from that location. When the station owner notifies NEWA that repairs have been made, the location is re-activated and models are again accessible to users.

Historical reports utilize backup data

When you view historical data in hourly and daily weather summaries, certain records are sometimes displayed in brown italicized text. Data points marked in this fashion indicate substitution from a ‘sister’ station, as described earlier. The brown italicized data are the best guess approximation of actual conditions at that location and time. See the figure below.

Sometimes, short-term outages create confusion for users when they try to access recent historical data in the hourly or daily summaries. If a station hasn’t reported recently, the tables will only display data up to the most recently reported day and time. Until the next data update is received from that station, the table will not contain current information.

Once an update does come in, NEWA will publish the new data record. If the weather station lost any data between the most recent reporting date and last recorded report, NEWA will pull brown italicized data from the ‘sister’ station to complete the historical dataset. The result is an unbroken continuous group of observations up to the current date and time.