From 23c15f430bc08f08a495bfd575278a71f1baf835 Mon Sep 17 00:00:00 2001
From: Fariborz Daneshvar
 <132295102+FariborzDaneshvar-NOAA@users.noreply.github.com>
Date: Fri, 27 Sep 2024 10:35:47 -0700
Subject: [PATCH] Update README.md

Updated tech report citation, and added AGU23 presentation.
---
 README.md | 12 +++++++++---
 1 file changed, 9 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 5430d01..fa82219 100644
--- a/README.md
+++ b/README.md
@@ -8,10 +8,16 @@ TO BE COMPLETED...
 
 
 ## References
-- Daneshvar, F., Mani, S., Pringle, W. J., Moghimi, S., Myers, E. 
+- Daneshvar, F., Mani, S., Pringle, W. J., Moghimi, S., Myers, E., (2024).
 _Probabilistic Prediction of Tropical Cyclone (TC) Driven Flood Depth_ 
-_and Extent with a User-Friendly Python Module_ 
-(NOAA Technical Memorandum NOS CS, under review) 
+_and Extent with a User-Friendly Python Module._ 
+NOAA Technical Memorandum NOS CS 59.
+
+- Daneshvar, F., Mani, S., Pringle, W. J., Moghimi, S., Myers, E., ( 2023). 
+_Evaluating the effect of inland hydrology and hurricane model on
+the probabilistic prediction of tropical cyclone (TC) driven coastal flooding._
+American Geophysical Union (AGU) Fall Meeting, December 2023, San Francisco, CA.
+
 - Pringle, W. J., Mani, S., Sargsyan, K., Moghimi, S., Zhang, Y. J.,
 Khazaei, B., Myers, E. (January 2023).
 _Surrogate-Assisted Bayesian Uncertainty Quantification for