Amy Defnet

ORCID: 0000-0003-2261-708X
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About
Contact & Profiles
Research Areas
  • Hydrology and Watershed Management Studies
  • Hydrological Forecasting Using AI
  • Youth Substance Use and School Attendance
  • Cryospheric studies and observations
  • Early Childhood Education and Development
  • Soil and Unsaturated Flow
  • COVID-19 and Mental Health
  • Precipitation Measurement and Analysis

Princeton University
2024

Mathematica Policy Research
2021

What is the social, emotional, and academic impact of attending school remotely rather than in person? We address this issue using survey data collected from N = 6,576 high students a large, diverse district that allowed families to choose either format fall 2020. Controlling for baseline measures well-being 1 month before onset COVID-19 pandemic as well demographics, who attended reported lower levels (effect size [ES] 0.10, 0.08, 0.07 standard deviations, respectively) classmates...

10.3102/0013189x211031551 article EN Educational Researcher 2021-07-13

Defnet et al., (2024). hf_hydrodata: A Python package for accessing hydrologic simulations and observations across the United States. Journal of Open Source Software, 9(99), 6623, https://doi.org/10.21105/joss.06623

10.21105/joss.06623 article EN cc-by The Journal of Open Source Software 2024-07-26

Hydrologic models are an integral part of understanding and managing water supply.There countless hydrologic available that differ in their complexity, scale focus on different parts the cycle.ParFlow is a fully integrated, physics-based model simulates surface subsurface flow simultaneously (Ashby & Falgout, 1996;Jones Woodward, 2001;Kollet Maxwell, 2006;Maxwell, 2013).ParFlow also coupled with land which allows it to simulate full terrestrial cycle from bedrock treetops (Kollet...

10.21105/joss.06752 article EN cc-by The Journal of Open Source Software 2024-07-17
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