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Dive into the research topics where Jennifer C. Adam is active.

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Featured researches published by Jennifer C. Adam.


Nature | 2005

Potential impacts of a warming climate on water availability in snow-dominated regions.

Tim P. Barnett; Jennifer C. Adam; Dennis P. Lettenmaier

All currently available climate models predict a near-surface warming trend under the influence of rising levels of greenhouse gases in the atmosphere. In addition to the direct effects on climate—for example, on the frequency of heatwaves—this increase in surface temperatures has important consequences for the hydrological cycle, particularly in regions where water supply is currently dominated by melting snow or ice. In a warmer world, less winter precipitation falls as snow and the melting of winter snow occurs earlier in spring. Even without any changes in precipitation intensity, both of these effects lead to a shift in peak river runoff to winter and early spring, away from summer and autumn when demand is highest. Where storage capacities are not sufficient, much of the winter runoff will immediately be lost to the oceans. With more than one-sixth of the Earths population relying on glaciers and seasonal snow packs for their water supply, the consequences of these hydrological changes for future water availability—predicted with high confidence and already diagnosed in some regions—are likely to be severe.


Journal of Climate | 2002

A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States*

Edwin P. Maurer; Andrew W. Wood; Jennifer C. Adam; Dennis P. Lettenmaier; Bart Nijssen

Abstract A frequently encountered difficulty in assessing model-predicted land–atmosphere exchanges of moisture and energy is the absence of comprehensive observations to which model predictions can be compared at the spatial and temporal resolutions at which the models operate. Various methods have been used to evaluate the land surface schemes in coupled models, including comparisons of model-predicted evapotranspiration with values derived from atmospheric water balances, comparison of model-predicted energy and radiative fluxes with tower measurements during periods of intensive observations, comparison of model-predicted runoff with observed streamflow, and comparison of model predictions of soil moisture with spatial averages of point observations. While these approaches have provided useful model diagnostic information, the observation-based products used in the comparisons typically are inconsistent with the model variables with which they are compared—for example, observations are for points or a...


Journal of Hydrometeorology | 2011

Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional Reference Crop Evaporation over Land during the Twentieth Century

Graham P. Weedon; S. Gomes; P. Viterbo; William James Shuttleworth; Eleanor Blyth; H. Osterle; Jennifer C. Adam; Nicolas Bellouin; Olivier Boucher; M. J. Best

The Water and Global Change (WATCH) project evaluation of the terrestrial water cycle involves using land surface models and general hydrological models to assess hydrologically important variables including evaporation, soil moisture, and runoff. Such models require meteorological forcing data, and this paper describes the creation of the WATCH Forcing Data for 1958–2001 based on the 40-yr ECMWF Re-Analysis (ERA-40) and for 1901–57 based on reordered reanalysis data. It also discusses and analyses model-independent estimates of reference crop evaporation. Global average annual cumulative reference crop evaporation was selected as a widely adopted measure of potential evapotranspiration. It exhibits no significant trend from 1979 to 2001 although there are significant long-term increases in global average vapor pressure deficit and concurrent significant decreases in global average net radiation and wind speed. The near-constant global average of annual reference crop evaporation in the late twentieth century masks significant decreases in some regions (e.g., the Murray–Darling basin) with significant increases in others.


Journal of Climate | 2010

Analysis of the Arctic System for Freshwater Cycle Intensification: Observations and Expectations

Michael A. Rawlins; Michael Steele; Marika M. Holland; Jennifer C. Adam; Jessica E. Cherry; Jennifer A. Francis; Pavel Ya. Groisman; Larry D. Hinzman; Thomas G. Huntington; Douglas L. Kane; John S. Kimball; R. Kwok; Richard B. Lammers; Craig M. Lee; Dennis P. Lettenmaier; Kyle C. McDonald; E. Podest; Jonathan W. Pundsack; Bert Rudels; Mark C. Serreze; Alexander I. Shiklomanov; Øystein Skagseth; Tara J. Troy; Charles J. Vörösmarty; Mark Wensnahan; Eric F. Wood; Rebecca A. Woodgate; Daqing Yang; Ke Zhang; Tingjun Zhang

Abstract Hydrologic cycle intensification is an expected manifestation of a warming climate. Although positive trends in several global average quantities have been reported, no previous studies have documented broad intensification across elements of the Arctic freshwater cycle (FWC). In this study, the authors examine the character and quantitative significance of changes in annual precipitation, evapotranspiration, and river discharge across the terrestrial pan-Arctic over the past several decades from observations and a suite of coupled general circulation models (GCMs). Trends in freshwater flux and storage derived from observations across the Arctic Ocean and surrounding seas are also described. With few exceptions, precipitation, evapotranspiration, and river discharge fluxes from observations and the GCMs exhibit positive trends. Significant positive trends above the 90% confidence level, however, are not present for all of the observations. Greater confidence in the GCM trends arises through lowe...


Journal of Climate | 2006

Correction of Global Precipitation Products for Orographic Effects

Jennifer C. Adam; E. A. Clark; Dennis P. Lettenmaier; Eric F. Wood

Abstract Underestimation of precipitation in topographically complex regions plagues most gauge-based gridded precipitation datasets. Gauge locations are usually in or near population centers, which tend to lie at low elevations relative to the surrounding terrain. For hydrologic modeling purposes, the resulting bias can result in serious underprediction of observed flows. A hydrologic water balance approach to develop a globally consistent correction for the underestimation of gridded precipitation in mountainous regions is described. The adjustment is based on a combination of the catchment water balances and variations of the Budyko E/P versus/P curve. The method overlays streamflow measurements onto watershed boundaries and then performs watershed water balances to determine “true” precipitation. Rather than relying on a modeled runoff ratio, evaporation is estimated using the Budyko curves. The average correction ratios for each of 357 mountainous river basins worldwide are spatially distributed acro...


Journal of Climate | 2008

Application of New Precipitation and Reconstructed Streamflow Products to Streamflow Trend Attribution in Northern Eurasia

Jennifer C. Adam; Dennis P. Lettenmaier

River runoff to the Arctic Ocean has increased over the last century, primarily during the winter and spring and primarily from the major Eurasian rivers. Some recent studies have suggested that the additional runoff is due to increased northward transport of atmospheric moisture (and associated increased precipitation), but other studies show inconsistencies in long-term runoff and precipitation trends, perhaps partly due to biases in the observational datasets. Through trend analysis of precipitation, temperature, and streamflow data, the authors investigate the extent to which Eurasian Arctic river discharge changes are attributable to precipitation and temperature changes as well as to reservoir construction and operation between the years of 1936 and 2000. Two new datasets are applied: a gridded precipitation product, in which the low-frequency variability is constrained to match that of long-term bias-corrected precipitation station data, and a reconstructed streamflow product, in which the effects of reservoirs have been minimized using a physically based reservoir model. It is found that reservoir operations have primarily affected streamflow seasonality, increasing winter discharge and decreasing summer discharge. To understand the influences of climate on streamflow changes, the authors hypothesize three cases that would cause precipitation trends to be inconsistent with streamflow trends: first, for the coldest basins in northeastern Siberia, streamflow should be sensitive to warming primarily as a result of the melting of excess ground ice, and for these basins positive streamflow trends may exceed precipitation trends in magnitude; second, evapotranspiration (ET) in the warmer regions of western Siberia and European Russia is sensitive to warming and increased precipitation, therefore observed precipitation trends may exceed streamflow trends; and third, streamflow from the central Siberian basins should respond to both effects. It is found that, in general, these hypotheses hold true. In the coldest basins, streamflow trends diverged from precipitation trends starting in the 1950s to 1960s, and this divergence accelerated thereafter. In the warmest basins, precipitation trends consistently exceeded streamflow trends, suggesting that increased precipitation contributed to increases in both ET and streamflow. In the central basins, permafrost degradation and ET effects appear to be contributing to long-term streamflow trends in varying degrees for each basin. The results herein suggest that the extent and state of the permafrost underlying a basin is a complicating factor in understanding long-term changes in Eurasian Arctic river discharge.


Environmental Modelling and Software | 2014

CropSyst model evolution

Claudio O. Stöckle; Armen R. Kemanian; Roger Nelson; Jennifer C. Adam; Rolf Sommer; Bryan Carlson

Motivated by global and regional challenges in food production and a broader consideration of ecosystem services, there has been a substantial increase in the demand for integrated agricultural systems models and spatially-distributed applications that can be used for regional and global assessments and as decision support tools. This demand marks a shift from earlier emphasis in single-crop point simulations and poses a significant challenge as cropping systems models need to improve and increase their capabilities to address multiple scales in a cohesive scientific manner and using updated computing platforms. In this article we discuss how the cropping systems model CropSyst has evolved to meet these new demands and provide some concepts for the future. Climate change and environmental concerns are driving the development of crop models.The cropping systems model CropSyst has evolved in response to new research needs.Our vision is to provide Internet-based open access to a library of CropSyst modules.Global communities of crop, climate, and economic modelers are emerging.


Climatic Change | 2015

BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management

Jennifer C. Adam; Jennie C. Stephens; Serena H. Chung; Michael Brady; R. David Evans; Chad E. Kruger; Brian K. Lamb; Mingliang Liu; Claudio O. Stöckle; Joseph K. Vaughan; Kirti Rajagopalan; John A. Harrison; Christina L. Tague; Ananth Kalyanaraman; Yong Chen; Alex Guenther; Fok-Yan Leung; L. Ruby Leung; Andrew B. Perleberg; Jonathan K. Yoder; Elizabeth Allen; Sarah Anderson; Bhagyam Chandrasekharan; Keyvan Malek; Tristan Mullis; Cody Miller; Tsengel Nergui; Justin Poinsatte; Julian Reyes; Jun Zhu

As managers of agricultural and natural resources are confronted with uncertainties in global change impacts, the complexities associated with the interconnected cycling of nitrogen, carbon, and water present daunting management challenges. Existing models provide detailed information on specific sub-systems (e.g., land, air, water, and economics). An increasing awareness of the unintended consequences of management decisions resulting from interconnectedness of these sub-systems, however, necessitates coupled regional earth system models (EaSMs). Decision makers’ needs and priorities can be integrated into the model design and development processes to enhance decision-making relevance and “usability” of EaSMs. BioEarth is a research initiative currently under development with a focus on the U.S. Pacific Northwest region that explores the coupling of multiple stand-alone EaSMs to generate usable information for resource decision-making. Direct engagement between model developers and non-academic stakeholders involved in resource and environmental management decisions throughout the model development process is a critical component of this effort. BioEarth utilizes a bottom-up approach for its land surface model that preserves fine spatial-scale sensitivities and lateral hydrologic connectivity, which makes it unique among many regional EaSMs. This paper describes the BioEarth initiative and highlights opportunities and challenges associated with coupling multiple stand-alone models to generate usable information for agricultural and natural resource decision-making.


Geophysical Research Letters | 2017

How much runoff originates as snow in the western United States, and how will that change in the future?

Dongyue Li; Melissa L. Wrzesien; Michael Durand; Jennifer C. Adam; Dennis P. Lettenmaier

In the western United States, the seasonal phase of snow storage bridges between winter-dominant precipitation and summer-dominant water demand. The critical role of snow in water supply has been frequently quantified using the ratio of snowmelt-derived runoff to total runoff. However, current estimates of the fraction of annual runoff generated by snowmelt are not based on systematic analyses. Here based on hydrological model simulations and a new snowmelt tracking algorithm, we show that 53% of the total runoff in the western United States originates as snowmelt, despite only 37% of the precipitation falling as snow. In mountainous areas, snowmelt is responsible for 70% of the total runoff. By 2100, the contribution of snowmelt to runoff will decrease by one third for the western U.S. in the Intergovernmental Panel on Climate Change Representative Concentration Pathway 8.5 scenario. Snowmelt-derived runoff currently makes up two thirds of the inflow to the regions major reservoirs. We argue that substantial impacts on water supply are likely in a warmer climate.


Journal of Professional Issues in Engineering Education and Practice | 2014

Effectiveness of an Interactive Learning Environment Utilizing a Physical Model

Shane Brown; Andrew Easley; Devlin Montfort; Jennifer C. Adam; Bernard J. Van Wie; Adesope Olusola; Cara Poor; Cory Tobin; Alicia Flatt

AbstractThe goal of this study is to evaluate the effectiveness of a physical desktop learning module and associated activities and assessments (DLM&A) implemented in an undergraduate engineering class. Preassessments and postassessments designed as part of this study were implemented within a control group that participated in 11 interactive lecture sessions covering open channel flow, and an experimental group that participated in nine lectures and two 50-minute sessions with the DLM&A. Student responses on assessments provide strong evidence to suggest students’ conceptual understanding increased significantly when the DLM&A is implemented. The experimental group registered a gain of 0.57 out of 1.0 possible, with 70% of the students achieving minimum competency, compared to a respective 0.26 gain and 39% competency for the control group. The average effect size for the experimental group was d=0.98. Qualitative assessments show experimental group students were much more likely to correct their concept...

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Keyvan Malek

Washington State University

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Kirti Rajagopalan

Washington State University

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Mingliang Liu

Washington State University

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Michael Brady

Washington State University

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Michael E. Barber

Washington State University

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Julian Reyes

Washington State University

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Andrew W. Wood

National Center for Atmospheric Research

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