ABIGAIL SNYDER

Datos Biográficos

ID7444609
NOMBREABIGAIL SNYDER
NOMBRESABIGAIL
APELLIDOSNYDER
FIRMASNYDER A
AFILIACIONESJoint Global Change Research Institute
ORCID0000-0002-9034-9948
VERIFICADOSí
TOTAL DE OBRAS8
TOTAL DE CITAS0
TOTAL COMO AUTOR8
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2017
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0

  • Predicting weather impacts on corn production in a data-limited region using a transfer learning approach

    Open AccessSrishti Vishwakarma, Stephanie A Morris et al.ARTICLEEnvironmental Research Letters2025

    The stability of food supply and prices may depend more on annual changes in yields from year-to-year variability in weather than on longer-term average changes from changing climatic conditions. However, the absence of high-quality data on crop yields at fine spatial resolutions in many regions of the world makes it challenging to statistically model their response to interannual variability in weather patterns. Therefore, there is a need for em…

  • Seeing the forest for the trees

    Open AccessKanishka B Narayan, Pralit Patel et al.ARTICLEEnvironmental Research Letters2024

    Studies have found that understanding forest management is critical in understanding the interaction between the carbon cycle and the integrated human-Earth system. This makes effectively representing forest management decisions such as planting and harvesting important. Here, we implement a novel dynamic forest harvest model in a global state of the art multi-sector dynamics model, namely the Global Change Analysis Model (GCAM). We implement an …

  • Characterizing the multisectoral impacts of future global hydrologic variability

    Open AccessAbigail Birnbaum, Ghazal Shabestanipour et al.ARTICLEEnvironmental Research Letters2024

    There is significant uncertainty in how global water supply will evolve in the future, due to uncertain climate, socioeconomic, and land use change drivers and variability of hydrologic processes. It is critical to characterize the potential impacts of uncertainty in future water supply given its importance for food and energy production. In this work, we introduce a framework that integrates stochastic hydrology and human-environmental systems t…

  • Empirical estimation of weather-driven yield shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat

    Open AccessABIGAIL SNYDER, Stephanie Waldhoff et al.ARTICLEEnvironmental Research Letters2021

    Agricultural yields are highly susceptible to changes in weather system patterns, including annual and sub-annual changes in temperature and precipitation. The impacts of future meteorological variable changes on crop yields have been widely studied in both empirical and process-based models. These changes in future yields can be used in economic models to adjust future crop yields or production functions to reflect the effects of changing weathe…

  • Global agricultural responses to interannual climate and biophysical variability

    Open AccessXin Zhao, Katherine Calvin et al.ARTICLEEnvironmental Research Letters2021

    Agricultural production is highly sensitive to changes in climate and weather patterns. The focus of the great majority of studies assessing climate impacts on agriculture has been on mean changes in agricultural responses. However, the manner in which global agricultural markets respond to the interannual variability of the climate and biophysical shocks is poorly understood. Here we show a strong transmission of interannual variations in climat…

  • GCAM v5.1

    Open AccessKatherine Calvin, Pralit Patel et al.ARTICLEGeoscientific Model Development2019

    This paper describes GCAM v5.1, an open source model that represents the linkages between energy, water, land, climate, and economic systems. GCAM is a market equilibrium model, is global in scope, and operates from 1990 to 2100 in 5-year time steps. It can be used to examine, for example, how changes in population, income, or technology cost might alter crop production, energy demand, or water withdrawals, or how changes in one region's demand f…

  • Humans drive future water scarcity changes across all Shared Socioeconomic Pathways

    Open AccessNeal T Graham, Mohamad Hejazi et al.ARTICLEEnvironmental Research Letters2019

    Future changes in climate and socioeconomic systems will drive both the availability and use of water resources, leading to evolutions in scarcity. The contributions of both systems can be quantified individually to understand the impacts around the world, but also combined to explore how the coevolution of energy-water-land systems affects not only the driver behind water scarcity changes, but how human and climate systems interact in tandem to …

  • An AgMIP framework for improved agricultural representation in integrated assessment models

    Open AccessAlex C Ruane, Cynthia Rosenzweig et al.ARTICLEEnvironmental Research Letters2017

    Integrated assessment models (IAMs) hold great potential to assess how future agricultural systems will be shaped by socioeconomic development, technological innovation, and changing climate conditions. By coupling with climate and crop model emulators, IAMs have the potential to resolve important agricultural feedback loops and identify unintended consequences of socioeconomic development for agricultural systems. Here we propose a framework to …