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1

Miller, Paul W., Thomas L. Mote, and Craig A. Ramseyer. "An Empirical Study of the Relationship between Seasonal Precipitation and Thermodynamic Environment in Puerto Rico." Weather and Forecasting 34, no. 2 (2019): 277–88. http://dx.doi.org/10.1175/waf-d-18-0127.1.

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Abstract With limited groundwater reserves and few reservoirs, Caribbean islands such as Puerto Rico are largely dependent on regular rainfall to meet societal and ecological water needs. Thus, the ability to anticipate seasonal rainfall shortages, such as the 2015 drought, is particularly important, yet few reliable tools exist for this purpose. Consequently, interpolated surface precipitation observations from the Daymet archive are summarized on daily, annual, and seasonal time scales and compared to the host thermodynamic environment as characterized by the Gálvez–Davison index (GDI), a co
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2

Kim, Jong Pil, Gwangseob Kim, and Woo-Seop Lee. "Estimation of Monthly Areal Precipitation using Daymet and PRISM." Journal of korean society of hazard mitigation 12, no. 5 (2012): 83–90. http://dx.doi.org/10.9798/kosham.2012.12.5.083.

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3

Aboutalebi, Mahyar, Alfonso Torres-Rua, and Niel Allen. "Spatial and Temporal Analysis of Precipitation and Effective Rainfall Using Gauge Observations, Satellite, and Gridded Climate Data for Agricultural Water Management in the Upper Colorado River Basin." Remote Sensing 10, no. 12 (2018): 2058. http://dx.doi.org/10.3390/rs10122058.

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Accurate spatial and temporal precipitation estimates are important for hydrological studies of irrigation depletion, net irrigation requirement, natural recharge, and hydrological water balances in defined areas. This analysis supports the verification of water savings (reduced depletion) from deficit irrigation of pastures in the Upper Colorado River Basin. The study area has diverse topography with scattered fields and few precipitation gauges that are not representative of the basin. Gridded precipitation products from TRMM-3B42, PRISM, Daymet, and gauge observations were evaluated on two
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Zhang, Yao, and Keith Paustian. "Sensitivity of Predicted Agro-Ecosystem Variables to Errors in Weather Input Data." Transactions of the ASABE 62, no. 3 (2019): 627–40. http://dx.doi.org/10.13031/trans.13044.

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Abstract. Statistically interpolated weather station data, outputs from climate reanalyses, and results from downscaled general circulation model (GCM) simulations are widely used to drive a variety of agro-ecosystem model applications, including regional- and national-scale crop modeling. In this study, we compared these three types of gridded weather datasets (total of nine datasets) with actual point-level weather station observations and analyzed the biases in predicted ecosystem variables of evapotranspiration (ET), crop grain yield, soil organic carbon (SOC) change, and soil N2O emission
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5

Ji, Lei, Gabriel B. Senay, and James P. Verdin. "Evaluation of the Global Land Data Assimilation System (GLDAS) Air Temperature Data Products." Journal of Hydrometeorology 16, no. 6 (2015): 2463–80. http://dx.doi.org/10.1175/jhm-d-14-0230.1.

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Abstract There is a high demand for agrohydrologic models to use gridded near-surface air temperature data as the model input for estimating regional and global water budgets and cycles. The Global Land Data Assimilation System (GLDAS) developed by combining simulation models with observations provides a long-term gridded meteorological dataset at the global scale. However, the GLDAS air temperature products have not been comprehensively evaluated, although the accuracy of the products was assessed in limited areas. In this study, the daily 0.25° resolution GLDAS air temperature data are compa
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6

Newman, A. J., M. P. Clark, K. Sampson, et al. "Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance." Hydrology and Earth System Sciences 19, no. 1 (2015): 209–23. http://dx.doi.org/10.5194/hess-19-209-2015.

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Abstract. We present a community data set of daily forcing and hydrologic response data for 671 small- to medium-sized basins across the contiguous United States (median basin size of 336 km2) that spans a very wide range of hydroclimatic conditions. Area-averaged forcing data for the period 1980–2010 was generated for three basin spatial configurations – basin mean, hydrologic response units (HRUs) and elevation bands – by mapping daily, gridded meteorological data sets to the subbasin (Daymet) and basin polygons (Daymet, Maurer and NLDAS). Daily streamflow data was compiled from the United S
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7

Kratzert, Frederik, Daniel Klotz, Sepp Hochreiter, and Grey S. Nearing. "A note on leveraging synergy in multiple meteorological data sets with deep learning for rainfall–runoff modeling." Hydrology and Earth System Sciences 25, no. 5 (2021): 2685–703. http://dx.doi.org/10.5194/hess-25-2685-2021.

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Abstract. A deep learning rainfall–runoff model can take multiple meteorological forcing products as input and learn to combine them in spatially and temporally dynamic ways. This is demonstrated with Long Short-Term Memory networks (LSTMs) trained over basins in the continental US, using the Catchment Attributes and Meteorological data set for Large Sample Studies (CAMELS). Using meteorological input from different data products (North American Land Data Assimilation System, NLDAS, Maurer, and Daymet) in a single LSTM significantly improved simulation accuracy relative to using only individua
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8

Broberg, Len. "Relative snowpack response to elevation, temperature and precipitation in the Crown of the Continent region of North America 1980-2013." PLOS ONE 16, no. 4 (2021): e0248736. http://dx.doi.org/10.1371/journal.pone.0248736.

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Water availability in western Canada and the United States is dependent on the accumulation of snowpack in the montane regions and threatened by increased winter temperature and more precipitation as rain linked to climate change. In order to make reasoned decisions to adapt to climate change managers require knowledge of the role of temperature and precipitation in SWE development and data to distinguish the relative retention response of snowpack regions to expected temperature and precipitation regime shifts at the watershed scale. Using the Daymet interpolated 1 km2 dataset, effects of ele
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9

Annes, Kelly, Diego B. Müller, Jorge A. P. Vilela, et al. "Influence of follicle size on bovine oocyte lipid composition, follicular metabolic and stress markers, embryo development and blastocyst lipid content." Reproduction, Fertility and Development 31, no. 3 (2019): 462. http://dx.doi.org/10.1071/rd18109.

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This study assessed the lipid composition of oocytes from different follicle sizes and compared the expression of lipid-related genes and follicular fluid (FF) molecules between groups. We also investigated the functional consequences of differences on embryo development and blastocyst lipid deposits. Oocytes and FF were recovered from different follicle sizes. Oocytes from small (≤5mm) and large (≥6mm) bovine follicles were used to produce Day 7 expanded blastocysts (Day7Ex) and blastocysts that only became expanded at Day 8 (Day8Ex) after insemination. Oocytes from >8mm follicles had
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10

Oubeidillah, A. A., S. C. Kao, M. Ashfaq, B. Naz, and G. Tootle. "A large-scale, high-resolution hydrological model parameter dataset for climate change impact assessment for the conterminous United States." Hydrology and Earth System Sciences Discussions 10, no. 7 (2013): 9575–613. http://dx.doi.org/10.5194/hessd-10-9575-2013.

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Abstract. To extend geographical coverage, refine spatial resolution, and improve modeling efficiency, a computation- and data-intensive effort was conducted to organize a comprehensive hydrologic dataset with post-calibrated model parameters for hydro-climate impact assessment. Several key inputs for hydrologic simulation, including meteorologic forcings, soil, land class, vegetation, and elevation, were collected from multiple best-available data sources and organized for 2107 hydrologic Subbasins (HUC8s) in the conterminous US at refined 1/24° (~ 4 km) spatial resolution. Using high perform
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11

Hua, Li, Huidong Wang, Haigang Sui, Brian Wardlow, Michael J. Hayes, and Jianxun Wang. "Mapping the Spatial-Temporal Dynamics of Vegetation Response Lag to Drought in a Semi-Arid Region." Remote Sensing 11, no. 16 (2019): 1873. http://dx.doi.org/10.3390/rs11161873.

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Drought, as an extreme climate event, affects the ecological environment for vegetation and agricultural production. Studies of the vegetative response to drought are paramount to providing scientific information for drought risk mitigation. In this paper, the spatial-temporal pattern of drought and the response lag of vegetation in Nebraska were analyzed from 2000 to 2015. Based on the long-term Daymet data set, the standard precipitation index (SPI) was computed to identify precipitation anomalies, and the Gaussian function was applied to obtain temperature anomalies. Vegetation anomaly was
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12

Mendoza-Cano, Oliver, Pedro Rincón-Avalos, Verity Watson, et al. "The Burden of Dengue in Children by Calculating Spatial Temperature: A Methodological Approach Using Remote Sensing Techniques." International Journal of Environmental Research and Public Health 18, no. 8 (2021): 4230. http://dx.doi.org/10.3390/ijerph18084230.

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Background: Dengue fever is one of the most important arboviral diseases. Surface temperature versus dengue burden in tropical environments can provide valuable information that can be adapted in future measurements to improve health policies. Methods: A methodological approach using Daymet-V3 provided estimates of daily weather parameters. A Python code developed by us extracted the median temperature from the urban regions of Colima State (207.3 km2) in Mexico. JointPoint regression models computed the mean temperature-adjusted average annual percentage of change (AAPC) in disability-adjuste
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13

Dullo, Tigstu T., George K. Darkwah, Sudershan Gangrade, et al. "Assessing climate-change-induced flood risk in the Conasauga River watershed: an application of ensemble hydrodynamic inundation modeling." Natural Hazards and Earth System Sciences 21, no. 6 (2021): 1739–57. http://dx.doi.org/10.5194/nhess-21-1739-2021.

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Abstract. This study evaluates the impact of potential future climate change on flood regimes, floodplain protection, and electricity infrastructures across the Conasauga River watershed in the southeastern United States through ensemble hydrodynamic inundation modeling. The ensemble streamflow scenarios were simulated by the Distributed Hydrology Soil Vegetation Model (DHSVM) driven by (1) 1981–2012 Daymet meteorological observations and (2) 11 sets of downscaled global climate models (GCMs) during the 1966–2005 historical and 2011–2050 future periods. Surface inundation was simulated using a
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14

Stefanuk, Michael A., and Ryan K. Danby. "Accumulated Heating and Chilling Are Important Drivers of Forest Phenology and Productivity in the Algonquin-to-Adirondacks Conservation Corridor of Eastern North America." Forests 12, no. 3 (2021): 282. http://dx.doi.org/10.3390/f12030282.

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Research Highlights: Forest phenology and productivity were responsive to seasonal heating and chilling accumulation, but responses differed across the temperature range. Background and Objectives: Temperate forests have responded to recent climate change worldwide, but the pattern and magnitude of response have varied, necessitating additional studies at higher spatial and temporal resolutions. We investigated climatic drivers of inter-annual variation in forest phenology and productivity across the Algonquin-to-Adirondacks (A2A) conservation corridor of eastern North America. Methods: We use
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15

Oubeidillah, A. A., S. C. Kao, M. Ashfaq, B. S. Naz, and G. Tootle. "A large-scale, high-resolution hydrological model parameter data set for climate change impact assessment for the conterminous US." Hydrology and Earth System Sciences 18, no. 1 (2014): 67–84. http://dx.doi.org/10.5194/hess-18-67-2014.

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Abstract. To extend geographical coverage, refine spatial resolution, and improve modeling efficiency, a computation- and data-intensive effort was conducted to organize a comprehensive hydrologic data set with post-calibrated model parameters for hydro-climate impact assessment. Several key inputs for hydrologic simulation – including meteorologic forcings, soil, land class, vegetation, and elevation – were collected from multiple best-available data sources and organized for 2107 hydrologic subbasins (8-digit hydrologic units, HUC8s) in the conterminous US at refined 1/24° (~4 km) spatial re
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16

Baijnath-Rodino, Janine A., and Claude R. Duguay. "Historical Spatiotemporal Trends in Snowfall Extremes over the Canadian Domain of the Great Lakes Basin." Advances in Meteorology 2018 (December 10, 2018): 1–20. http://dx.doi.org/10.1155/2018/5404123.

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The Laurentian Great Lakes Basin (GLB) is prone to snowfall events developed from extratropical cyclones or lake-effect processes. Monitoring extreme snowfall trends in response to climate change is essential for sustainability and adaptation studies because climate change could significantly influence variability in precipitation during the 21st century. Many studies investigating snowfall within the GLB have focused on specific case study events with apparent under examinations of regional extreme snowfall trends. The current research explores the historical extremes in snowfall by assessing
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17

McEvoy, Daniel J., John F. Mejia, and Justin L. Huntington. "Use of an Observation Network in the Great Basin to Evaluate Gridded Climate Data." Journal of Hydrometeorology 15, no. 5 (2014): 1913–31. http://dx.doi.org/10.1175/jhm-d-14-0015.1.

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Abstract Predicting sharp hydroclimatic gradients in the complex terrain of the Great Basin can prove to be challenging because of the lack of climate observations that are gradient focused. Furthermore, evaluating gridded data products (GDPs) of climate in such environments for use in local hydroclimatic assessments is also challenging and typically ignored because of the lack of observations. In this study, independent Nevada Climate-Ecohydrological Assessment Network (NevCAN) observations of temperature, relative humidity, and precipitation collected along large altitudinal gradients of the
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18

Soulard, Christopher E., and Matthew Rigge. "Application of Empirical Land-Cover Changes to Construct Climate Change Scenarios in Federally Managed Lands." Remote Sensing 12, no. 15 (2020): 2360. http://dx.doi.org/10.3390/rs12152360.

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Sagebrush-dominant ecosystems in the western United States are highly vulnerable to climatic variability. To understand how these ecosystems will respond under potential future conditions, we correlated changes in National Land Cover Dataset “Back-in-Time” fractional cover maps from 1985-2018 with Daymet climate data in three federally managed preserves in the sagebrush steppe ecosystem: Beaty Butte Herd Management Area, Hart Mountain National Antelope Refuge, and Sheldon National Wildlife Refuge. Future (2018 to 2050) abundance and distribution of vegetation cover were modeled at a 300-m reso
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19

Swenson, Jennifer J., Richard H. Waring, Weihong Fan, and Nicholas Coops. "Predicting site index with a physiologically based growth model across Oregon, USA." Canadian Journal of Forest Research 35, no. 7 (2005): 1697–707. http://dx.doi.org/10.1139/x05-089.

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With expanded interests in sustaining productivity under changing climate, management, and disturbance regimes, we sought a means of mapping the potential productivity of forests across the state of Oregon in the Pacific Northwest, USA. We chose the mapping tool 3-PG, a simplified physiologically based process model that can be driven with monthly averaged climatic data (DAYMET) and estimates of soil fertility based on soil nitrogen content. Maximum periodic mean increment (MAI, m3·ha–1·year–1), a measure of the forest's productive potential, was generated by the 3-PG spatial model and mapped
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20

Newman, Andrew J., Martyn P. Clark, Ryan J. Longman, and Thomas W. Giambelluca. "Methodological Intercomparisons of Station-Based Gridded Meteorological Products: Utility, Limitations, and Paths Forward." Journal of Hydrometeorology 20, no. 3 (2019): 531–47. http://dx.doi.org/10.1175/jhm-d-18-0114.1.

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Abstract This study presents a gridded meteorology intercomparison using the State of Hawaii as a testbed. This is motivated by the goal to provide the broad user community with knowledge of interproduct differences and the reasons differences exist. More generally, the challenge of generating station-based gridded meteorological surfaces and the difficulties in attributing interproduct differences to specific methodological decisions are demonstrated. Hawaii is a useful testbed because it is traditionally underserved, yet meteorologically interesting and complex. In addition, several climatol
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Newman, A. J., M. P. Clark, K. Sampson, et al. "Development of a large-sample watershed-scale hydrometeorological dataset for the contiguous USA: dataset characteristics and assessment of regional variability in hydrologic model performance." Hydrology and Earth System Sciences Discussions 11, no. 5 (2014): 5599–631. http://dx.doi.org/10.5194/hessd-11-5599-2014.

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Abstract. We present a community dataset of daily forcing and hydrologic response data for 671 small- to medium-sized basins across the contiguous United States (median basin size of 336 km2) that spans a very wide range of hydroclimatic conditions. Areally averaged forcing data for the period 1980–2010 was generated for three basin delineations – basin mean, Hydrologic Response Units (HRUs) and elevation bands – by mapping the daily, 1 km gridded Daymet meteorological dataset to the sub-basin and basin polygons. Daily streamflow data was compiled from the United States Geological Survey Natio
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22

Dong, Taifeng, Jiali Shang, Budong Qian, et al. "Field-Scale Crop Seeding Date Estimation from MODIS Data and Growing Degree Days in Manitoba, Canada." Remote Sensing 11, no. 15 (2019): 1760. http://dx.doi.org/10.3390/rs11151760.

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Information on crop seeding date is required in many applications; such as crop management and yield forecasting. This study presents a novel method to estimate crop seeding date at the field level from time-series 250-m Moderate Resolution Imaging Spectroradiometer (MODIS) data and growing degree days (GDD; base 5 °C; °C-days). The start of growing season (SOS) was first derived from time-series EVI2 (two-band Enhanced Vegetation Index) calculated from a MODIS 8-day composite surface reflectance product (MOD09Q1; Collection 6). Based on GDD; calculated from the Daymet gridded estimates of dai
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Rhoades, Alan M., Xingying Huang, Paul A. Ullrich, and Colin M. Zarzycki. "Characterizing Sierra Nevada Snowpack Using Variable-Resolution CESM." Journal of Applied Meteorology and Climatology 55, no. 1 (2016): 173–96. http://dx.doi.org/10.1175/jamc-d-15-0156.1.

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AbstractThe location, timing, and intermittency of precipitation in California make the state integrally reliant on winter-season snowpack accumulation to maintain its economic and agricultural livelihood. Of particular concern is that winter-season snowpack has shown a net decline across the western United States over the past 50 years, resulting in major uncertainty in water-resource management heading into the next century. Cutting-edge tools are available to help navigate and preemptively plan for these uncertainties. This paper uses a next-generation modeling technique—variable-resolution
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Notaro, Michael, Kristen Emmett, and Donal O’Leary. "Spatio-Temporal Variability in Remotely Sensed Vegetation Greenness Across Yellowstone National Park." Remote Sensing 11, no. 7 (2019): 798. http://dx.doi.org/10.3390/rs11070798.

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The study’s objective was to quantify the responses of vegetation greenness and productivity to climate variability and change across complex topographic, climatic, and ecological gradients in Yellowstone National Park through the use of remotely sensed data. The climate change signal in Yellowstone was pronounced, including substantial warming, an abrupt decline in snowpack, and more frequent droughts. While phenological studies are increasing in Yellowstone, the near absence of long-term and continuous ground-based phenological measurements motivated the study’s application of remotely sense
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Qian, Yonglan, Zhengwei Yang, Liping Di, et al. "Crop Growth Condition Assessment at County Scale Based on Heat-Aligned Growth Stages." Remote Sensing 11, no. 20 (2019): 2439. http://dx.doi.org/10.3390/rs11202439.

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Remotely sensed data have been used in crop condition monitoring for decades. Traditionally, crop growth conditions were assessed by comparing Normalized Difference Vegetation Index (NDVI) of the current year and past years at a pixel scale on the same calendar day. The assumption of this comparison is that the different years’ crops were at the same growing stage on the same day. However, this assumption is often violated in reality. This paper proposes to combine remotely sensed data and meteorological data to assess corn growth conditions at the same growth stages at county level. The propo
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Slater, Andrew G. "Surface Solar Radiation in North America: A Comparison of Observations, Reanalyses, Satellite, and Derived Products*." Journal of Hydrometeorology 17, no. 1 (2015): 401–20. http://dx.doi.org/10.1175/jhm-d-15-0087.1.

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Abstract Observations of daily surface solar or shortwave radiation data from over 4000 stations have been gathered, covering much of the continental United States as well as portions of Alberta and British Columbia, Canada. The quantity of data increases almost linearly from 1998, when only several hundred stations had data. A quality-control procedure utilizing threshold values along with computing the clear-sky radiation envelope for individual stations was implemented to both screen bad data and rescue informative data. Over two-thirds of the observations are seen as acceptable. There are
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27

Hachid, M. "Dayet Mouilah." Encyclopédie berbère, no. 15 (April 1, 1995): 2250–54. http://dx.doi.org/10.4000/encyclopedieberbere.2229.

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Lefebvre, G. "Dayet es-Stel." Encyclopédie berbère, no. 15 (April 1, 1995): 2248–49. http://dx.doi.org/10.4000/encyclopedieberbere.2228.

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Alaoui, Bouchra Lemdeghri, and Abdennasser Baali. "Mise En Evidence D’une Alternance D’episodes Climatiques Pendant La Fin Du Pleistocene Superieur : Enregistrements Dans Les Depots Lacustres De Dayet Iffere (Moyen Atlas, Maroc)." European Scientific Journal, ESJ 13, no. 2 (2017): 362. http://dx.doi.org/10.19044/esj.2017.v13n2p362.

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In northern Middle Atlas, the Dayet Iffère is located in an area affected by karst and tectonic. After its watershed genesis of middle altitude during the upper Pleistocene, two lacustrine formation were deposed. The detailed sedmentological study as well as the correlations between the different lacustrine formations defined in Dayet Afourgagh and Dayet Agoulmam, and the 14C dating allowed to reconstitute the major stages of the filling evolution of the lake basin and its sedimentary dynamic. The variations of sedimentation are interpreted as climatic fluctuations and evolution of vegetation
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Dayrat, Benoît, Tricia C. Goulding, Munawar Khalil, et al. "A new genus of air-breathing marine slugs from South-East Asia (Gastropoda, Pulmonata, Onchidiidae)." ZooKeys 877 (September 2, 2019): 31–80. http://dx.doi.org/10.3897/zookeys.877.36698.

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As part of an ongoing effort to revise the taxonomy of air-breathing, marine, onchidiid slugs, a new genus, Laspionchis Dayrat & Goulding, gen. nov., is described from the mangroves of South-East Asia. It includes two new species, Laspionchis boucheti Dayrat & Goulding, sp. nov., and Laspionchis bourkei Dayrat & Goulding, sp. nov., both distributed from the Malacca Strait to the Philippines and Australia. This study is based on extensive field work in South-East Asia, comparative anatomy, and both mitochondrial (COI and 16S) and nuclear (ITS2 and 28S) DNA sequences. The
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Levis, S., M. D. Hartman, and G. B. Bonan. "The Community Land Model underestimates land-use CO<sub>2</sub> emissions by neglecting soil disturbance from cultivation." Geoscientific Model Development 7, no. 2 (2014): 613–20. http://dx.doi.org/10.5194/gmd-7-613-2014.

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Abstract. The Community Land Model (CLM) can simulate planting and harvesting of crops but does not include effects of cultivation on soil carbon decomposition. The biogeochemistry model DayCent does account for cultivation and provides a baseline for evaluating the CLM. With the goal of representing cultivation effects on soil carbon decomposition, we implemented the DayCent cultivation parameterization in the CLM and compared CLM and DayCent simulations at eight Midwestern United States sites with and without the cultivation parameterization. Cultivation decreases soil carbon by about 1350 g
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Levis, S., M. D. Hartman, and G. B. Bonan. "Earth System Models that simulate crops underestimate CO<sub>2</sub> emissions from land use by neglecting soil disturbance due to cultivation." Geoscientific Model Development Discussions 6, no. 4 (2013): 6639–58. http://dx.doi.org/10.5194/gmdd-6-6639-2013.

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Abstract. The Community Land Model (CLM) can simulate planting and harvesting of crops but does not include effects of cultivation on soil carbon decomposition. The biogeochemistry model DayCent does account for cultivation and provides a baseline for evaluating the CLM. With the goal of representing cultivation effects on soil carbon decomposition, we implemented the DayCent cultivation parameterization in the CLM and compared CLM and DayCent simulations at eight Midwestern United States sites with and without the cultivation parameterization. Cultivation decreases soil carbon by about 1350 g
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Háva, Jiří, Mahmoud S. Abdel-Dayem, and Hathal M. Aldhafer. "The subfamily Thorictinae (Coleoptera, Dermestidae) from Saudi Arabia." ZooKeys 1029 (April 8, 2021): 155–74. http://dx.doi.org/10.3897/zookeys.1029.63940.

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In this study, the Saudi Arabian Thorictinae beetle species, Thorictus riyadhensis Háva &amp;amp; Abdel-Dayem, sp. nov., T. shadensis Háva &amp;amp; Abdel-Dayem, sp. nov., T. sharafi Háva &amp;amp; Abdel-Dayem, sp. nov., T. hanifahensis Háva &amp;amp; Abdel-Dayem, sp. nov. are described, illustrated, and compared with related species. Three other species: T. castaneus Germar, 1834; T. foreli Wasmann, 1894; and T. peyerimhoffi Chobaut, 1904 are excluded from the fauna of Saudi Arabia. A list of Thorictinae species from the Arabian Peninsula is provided.
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Dayrat, Benoît, Tricia C. Goulding, Deepak Apte, et al. "Systematic revision of the genus Peronia Fleming, 1822 (Gastropoda, Euthyneura, Pulmonata, Onchidiidae)." ZooKeys 972 (October 1, 2020): 1–224. http://dx.doi.org/10.3897/zookeys.972.52853.

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The genus Peronia Fleming, 1822 includes all the onchidiid slugs with dorsal gills. Its taxonomy is revised for the first time based on a large collection of fresh material from the entire Indo-West Pacific, from South Africa to Hawaii. Nine species are supported by mitochondrial (COI and 16S) and nuclear (ITS2 and 28S) sequences as well as comparative anatomy. All types available were examined and the nomenclatural status of each existing name in the genus is addressed. Of 31 Peronia species-group names available, 27 are regarded as invalid (twenty-one synonyms, sixteen of which are new, five
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Goulding, Tricia C., Munawar Khalil, Shau Hwai Tan, and Benoît Dayrat. "Integrative taxonomy of a new and highly-diverse genus of onchidiid slugs from the Coral Triangle (Gastropoda, Pulmonata, Onchidiidae)." ZooKeys 763 (June 4, 2018): 1–111. http://dx.doi.org/10.3897/zookeys.763.21252.

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A new genus of onchidiid slugs,WallaconchisGoulding &amp;amp; Dayrat,gen. n., is described, including ten species. Five species were previously described but known only from the type material:Wallaconchisater(Lesson, 1830),W.graniferum(Semper, 1880),W.nangkauriense(Plate, 1893),W.buetschlii(Stantschinsky, 1907), andW.gracile(Stantschinsky, 1907), all of which were originally classified inOnchidiumBuchannan, 1800. Many new records are provided for these five species, which greatly expand their known geographic distributions. Five species are new:WallaconchisachleitneriGoulding,sp. n.,W.comendad
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36

Maxwell, Judith M. ": Tzutujil Grammar . Jon P. Dayley." American Anthropologist 89, no. 1 (1987): 190–91. http://dx.doi.org/10.1525/aa.1987.89.1.02a00550.

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37

Brody, Jill. "Tzutujil Grammar. Jon P. Dayley." International Journal of American Linguistics 54, no. 4 (1988): 473–75. http://dx.doi.org/10.1086/466100.

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38

Yuille, John C., and Judith Daylen. "Drs. Yuille and Daylen Respond." Contemporary Psychology: A Journal of Reviews 43, no. 2 (1998): 154. http://dx.doi.org/10.1037/005100.

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39

El Ghizi, Sara, Sliman Hssaissoune, Mohammed El Bouch, Mohamed Sadik, and Mustapha Hasnaoui. "Metallic trace elements contained in the sediments of Dayet Er-Roumi Lake (Morocco)." E3S Web of Conferences 298 (2021): 05004. http://dx.doi.org/10.1051/e3sconf/202129805004.

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The contamination of aquatic ecosystems with metals remains a serious environmental problem of growing concern. Sediments are often studied as reservoirs or wells for many chemical pollutants. They are micropollutant traps; they also indicate the watercourse's historical pollution, lagoons, and lakes…Lake Dayet Er-Roumi (SIBE) is the only permanent natural lake in the Khemisset region (Morocco); this wetland is affected by several forms of pollution that are mainly linked to human activities (agricultural, domestic, industrial, etc.). The objective of our study is to contribute, through qualit
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40

Lo Verso, V. R. M., F. Giuliani, F. Caffaro, et al. "A Survey on Daylighting Education in Italian Universities. Knowledge of Standards, Metrics and Simulation Tools." Journal of Daylighting 8, no. 1 (2021): 36–49. http://dx.doi.org/10.15627/jd.2021.3.

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Daylighting is a strategic topic to achieve sustainable buildings, so it is more and more imperative that it is implemented in architecture curricula to prepare a new generation of daylighting-oriented practitioners. In this frame, the DAYKE project (Daylight Knowledge in Europe) was set up to explore the level of knowledge about daylighting among European professionals and students. DAYKE-Europe was replicated as DAYKE-Italy to study the knowledge of daylight standards, metrics and software among Italian architecture students, and to compare it to that observed within DAYKE-Europe. A sample o
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Lutz, Femke, Stephen Del Grosso, Stephen Ogle, et al. "The importance of management information and soil moisture representation for simulating tillage effects on N<sub>2</sub>O emissions in LPJmL5.0-tillage." Geoscientific Model Development 13, no. 9 (2020): 3905–23. http://dx.doi.org/10.5194/gmd-13-3905-2020.

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Abstract. No-tillage is often suggested as a strategy to reduce greenhouse gas emissions. Modeling tillage effects on nitrous oxide (N2O) emissions is challenging and subject to great uncertainties as the processes producing the emissions are complex and strongly nonlinear. Previous findings have shown deviations between the LPJmL5.0-tillage model (LPJmL: Lund–Potsdam–Jena managed Land) and results from meta-analysis on global estimates of tillage effects on N2O emissions. Here we tested LPJmL5.0-tillage at four different experimental sites across Europe and the USA to verify whether deviation
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42

Wu, Yiping, Shuguang Liu, Linjing Qiu, and Yuzhu Sun. "SWAT-DayCent coupler: An integration tool for simultaneous hydro-biogeochemical modeling using SWAT and DayCent." Environmental Modelling & Software 86 (December 2016): 81–90. http://dx.doi.org/10.1016/j.envsoft.2016.09.015.

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43

El Ghizi, Sara, Nezha El Aadel, Mohamed Sadik, Mohammed El Bouch, and Mustapha Hasnaoui. "The physicochemical characteristics and the pollution level of Dayet Er-Roumi Lake in Morocco." E3S Web of Conferences 234 (2021): 00036. http://dx.doi.org/10.1051/e3sconf/202123400036.

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The management of natural surface water resources requires an understanding and knowledge of water quality. The Lake Dayet Er-Roumi (classified as a Site of Biological and Ecological Interest (SIBE)) is the only permanent continental lake of low altitude in Morocco, this international attraction site is subject to various sources of anthropogenic pollution, in addition to the effects of climate change (thermal variability, lack of precipitation, etc.). The objective of this work is to quantify and assess the quality of the waters lake, and its tributaries through Spatio-temporal monitoring of
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Smith, W. N., B. B. Grant, R. L. Desjardins, P. Rochette, C. F. Drury, and C. Li. "Evaluation of two process-based models to estimate soil N2O emissions in Eastern Canada." Canadian Journal of Soil Science 88, no. 2 (2008): 251–60. http://dx.doi.org/10.4141/cjss06030.

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Process-based models play an important role in the estimation of soil N2O emissions from regions with contrasting soil and climatic conditions. A study was performed to evaluate the ability of two process-based models, DAYCENT and DNDC, to estimate N2O emissions, soil nitrate- and ammonium-N levels, as well as soil temperature and water content. The measurement sites included a maize crop fertilized with pig slurry (Quebec) and a wheat-maize-soybean rotation as part of a tillage-fertilizer experiment (Ontario). At the Quebec site, both models accurately simulated soil temperature with an avera
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Mendoza Beltran, Angelica, Claus Nordstrøm Scheel, Nuala Fitton, Jannick Schmidt, and Jesper Hedal Kløverpris. "Assessing life cycle environmental impacts of inoculating soybeans in Argentina with Bradyrhizobium japonicum." International Journal of Life Cycle Assessment 26, no. 8 (2021): 1570–85. http://dx.doi.org/10.1007/s11367-021-01929-7.

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Abstract Purpose To estimate life cycle impacts from introducing the yield-enhancing inoculant containing the nitrogen-fixing bacterium Bradyrhizobium japonicum and the signal molecule lipochitooligosaccharide (LCO) in Argentinian soybean production. The study focuses on soybeans grown in rotation with corn in the Buenos Aires province. We also provide the life cycle impact assessment for the inoculant production. The study represents a novel scope in terms of the studied crop, inoculant type, and location. Methods Consequential LCA is used to assess the cradle-to-gate soybean production syste
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Abdel-Dayem, Hussein M. "Dr. Abdel-Dayem responds." Radiology 167, no. 2 (1988): 582. http://dx.doi.org/10.1148/radiology.167.2.582-a.

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Ashour, Mohamed A., M. Sherif Saad, and Mustafa M. Kotb. "Evaluation of Alluvial Channels Meandering Phenomenon (Case Study: Bahr Youssef)." Annals of Valahia University of Targoviste, Geographical Series 17, no. 2 (2017): 206–19. http://dx.doi.org/10.1515/avutgs-2017-0019.

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AbstractBahr Youssef (B.Y) is a semi-natural branch canal connecting the River Nile with Fayoum depression, in the desert immediately to the west of the Nile Valley, about 92 kilometers southwest of Cairo, for irrigation purposes of El-Minya, El-Fayoum, Bani-Swif, and Giza governorates. The area served by Bahr Youssef reaches about 850.000 feds in the Middle Egypt, out of 1.650.000 feds served by the Ibrahimeya carrier canal, which branches from the River Nile's at Assiut barrage, and extends northward for 55 kilometers, until Dayrut city. In Dayrut; “Ibrahimeya” canal bifurcates into seven ca
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Tompkins, Craig. "Book ReviewThe Performer's Voice: Realizing Your Vocal Potentialby Meribeth Bunch Dayme." Voice and Speech Review 5, no. 1 (2007): 393. http://dx.doi.org/10.1080/23268263.2007.10769799.

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Bright, William. "Tümpisa (Panamint) Shoshone grammar By Jon P. Dayley, and: Tümpisa (Panamint) Shoshone dictionary By Jon P. Dayley." Language 67, no. 2 (1991): 394–95. http://dx.doi.org/10.1353/lan.1991.0091.

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Konis, Kyle. "Field evaluation of the circadian stimulus potential of daylit and non-daylit spaces in dementia care facilities." Building and Environment 135 (May 2018): 112–23. http://dx.doi.org/10.1016/j.buildenv.2018.03.007.

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