NSF award 2611747 · Tulane University

Collaborative Research: A Physics-Informed Flood Early Warning System for Agricultural Watersheds with Explainable Deep Learning and Process-Based Modeling

Final report due

28 October 2027

in 375 days · The award ends on 30 June 2027.

GrantClerk is a private service. We are not NSF or any government agency.

Dates this award owes

NSF emails you about this too.

Decide about an extension2 Mar 2027in 135 days
award ending 2027-06-30 · Research.gov
This one is ours, not NSF’s.
Extension request16 May 2027in 210 days
award ending 2027-06-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Jun 2027in 245 days
award ending 2027-06-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Oct 2027in 375 days
award ending 2027-06-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Oct 2027in 375 days
award ending 2027-06-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Oct 2027in 375 days
award ending 2027-06-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

Annual report dates come from the budget period on your award notice. That date is not public, so it is not shown here.

How we got this date

NSF lists this award's end date as 30 June 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 October 2027.

Read the rule on Research.gov

Get a note before each report date

Add this award to your desk. We email you before each date and keep the dates in one place.

Renews each year until you cancel. Cancel any time from your account.

Already a member? Sign in

Award card

Award number: 2611747
Period of support: 1 Nov 2025 – 30 Jun 2027
Amount: $200,000
Awardee: Tulane University, NEW Orleans, LA
Program: GEO CI - GEO Cyberinfrastrctre
Directorate: GEO

Abstract

Global floods and extreme rainfall events have surged by more than 50% this decade and are now occurring at a rate four times higher than in 1980. However, the capability of physical models in predicting flood events remains limited across spatial scales, especially in intensively managed agricultural systems like the Midwestern U.S. The apparent disparity between observed seasonal patterns of extreme precipitation…

Is this right?

We copy this from the public NSF award record. Your award notice and NSF always win. If a date looks wrong, check Research.gov.