Weather forecasts struggle to predict how much snow will stick around, or how quickly it will melt away. Scientists, supported by the National Integrated Drought Information System (NIDIS) are addressing this challenge by improving how climate models simulate snow, a crucial step to better predict droughts and water availability in the Western U.S. 

Next week, the American Meteorological Society (AMS) is hosting its 105th annual meeting in New Orleans, Louisiana.This year, the meeting will focus on the theme, "Towards a Thriving Planet: Charting the Course Across Scales." NOAA’s National Integrated Drought Information System (NIDIS) is excited to co-chair two sessions during this year’s meeting: Advancements in Analysis and Prediction of Drought and Advances in Communicating the Risk of Drought and Cascading Hazards. 

After a warm, dry October, drought reached a nationwide record this year. Ohio and West Virginia saw their most area in Extreme and Exceptional Drought (D3-D4) since the U.S. Drought Monitor began in 2000. Far West Texas, southern New Mexico, and the Northern Rockies remained in persistent drought throughout the year. Meanwhile, areas of the West in long-term drought, including parts of the Southwest, saw some improvement in spring. 

Higher temperatures caused by anthropogenic climate change made an ordinary drought into an exceptional drought that parched the American West from 2020-2022, according to a new study by scientists from the University of California, Los Angeles (UCLA), NOAA’s National Integrated Drought Information System (NIDIS), and the Cooperative Institute for Research in Environmental Sciences.