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24 results for “rainfall variability”
Southeast US rainfall index for GRL paper "The Influence of a Resolved Gulf Stream on the Decadal Variability of Southeast US Rainfall"
<p>The data include Southeast US rainfall index based on GPCC monthly precipitation and 30 CMIP5 model historical simulations (first realization). Each rainfall dataset, observed or model simulated, has been linearly detrended and applied with a 5-year low-pass filter. The Southeast US rainfall index is calculated as the area averaged values of 5-year low-pass filtered rainfall over land regions bounded by 25°-38°N and 266°-284°E. The unit here is mm/day.</p>
Processed ERA5, IMERG and TRMM PR/GPM DPR precipitation data for Nicolas & Boos - "Understanding the spatiotemporal variability of tropical orographic rainfall using convective plume buoyancy."
<p>The dataset contains processed data from large datasets that are freely available online. <br>All data cover the period 01/2001 - 12/2020. The file names describe the months & region that each file contains. Variable codes for ERA5 data (all files starting in e5.) are:</p><p> - 228_246_100u : 100m u-wind<br> - 228_247_100v : 100m v-wind<br> - qL : 900-600hPa averaged specific humidity<br> - thetaeb : surface - 900hPa averaged equivalent potential temperature<br> - thetaeL : 900-600hPa averaged equivalent potential temperature<br> - thetaeLstar : 900-600hPa averaged saturation equivalent potential temperature<br> - tL : 900-600hPa averaged temperature<br> - uBL : surface - 900hPa averaged u wind<br> - vBL : surface - 900hPa averaged v wind<br> - 128_034_sstk : sea surface temperature<br> - 162_071_viwve : eastward component of vertically integrated water vapor transport<br> - 162_072_viwvn : northward component of vertically integrated water vapor transport</p><p> </p>
Data for "Opposing changes in Indian Summer Monsoon Rainfall variability produced by orbital and anthropogenic forcing"
<p>The dataset for the CAM5 and LBM experiments is presented in the manuscript titled "Opposing changes in Indian summer monsoon rainfall variability produced by orbital and anthropogenic forcing. And the proxy data for the paper.</p>
Figure 2 in Variability Modeling of Rainfall, Deforestation, and Incidence of American Tegumentary Leishmaniasis in Orán, Argentina, 1985-2007
Figure 2. - Relation between cumulative trophic diversity and number of analyzed stomachs of Gaidropsarus guttatus from Faial Island, Azores.
Figure 3 in Variability Modeling of Rainfall, Deforestation, and Incidence of American Tegumentary Leishmaniasis in Orán, Argentina, 1985-2007
Figure 3. - Index of relative importance (%Rw) regarding the major prey items found in the stomachs of Gaidropsarus guttatus from Faial Island, Azores.
Figure 1 in Variability Modeling of Rainfall, Deforestation, and Incidence of American Tegumentary Leishmaniasis in Orán, Argentina, 1985-2007
Figure 1. - Map showing Faial, within the Azores Archipelago, NE Atlantic, and collection Gaidropsarus guttatus sites.
CCSM4 LR and HR Model Simulations for GRL paper "The Influence of a Resolved Gulf Stream on the Decadal Variability of Southeast US Rainfall"
<p>This archive contains model simulations of precipitation used in the GRL paper "The Influence of a Resolved Gulf Stream on the Decadal Variability of Southeast US Rainfall" (Zhang et al., 2021). These model simulations are standard control simulations based on the Community Climate System Model Version 4.0 (CCSM4) using eddying (HR) and eddy-parameterizing (LR) ocean component models. </p> <p><em><strong>In order to properly acknowledge those who have worked hard to create those data sets we do require that if this data is used in a publication that coauthorship be offered to those involved in the data creation. Please contact the author Dr. Wei Zhang (email: wz19@princeton.edu) for any further questions or potential collaboration. </strong></em></p>
Deconstructing precipitation variability: Rainfall event size and timing uniquely alter ecosystem dynamics (Data)
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Ocean variability drives severe increases in heavy rainfall in the Yellow River Basin-Data availability part
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Data from: Fruiting phenology is linked to rainfall variability in a tropical rain forest
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Complexity within an oil palm monoculture: the effects of habitat variability and rainfall on adult dragonfly (Odonata) communities.
<p>Recent expansion of oil palm agriculture has resulted in loss of forest habitat and forest-dependent species. However, large numbers of species – particularly insects – can persist within plantations. This study focuses on Odonata (dragonflies and damselflies): a charismatic indicator taxon, and a potentially valuable pest control agent. We surveyed adult Odonata populations biannually over three years within an industrial oil palm plantation in Sumatra, Indonesia. We assessed the effects of rainfall (including an El Niño Southern Oscillation-associated drought), the role of roadside ditches, and the importance of understory vegetation on Odonata populations. To assess the impacts of vegetation we took advantage of a long-term vegetation management experiment that is part of the Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) Programme. We found 41 Odonata species, and communities varied between plantation core and roadside edge microhabitats, and between seasons. Abundance was significantly related to rainfall levels four months before surveys, probably indicating the importance of high water levels in roadside ditches for successful larval development. We found no significant effect of the BEFTA understory vegetation treatments on Odonata abundance, and only limited effects on community composition, suggesting that local understory vegetation structure plays a relatively unimportant role in determining communities. Our findings highlight that there are large numbers of Odonata species present within oil palm plantations, and suggest that their abundance could potentially be increased by maintaining or establishing waterbodies. As Odonata are predators, this could bring pest control benefits, in addition to enhancing biodiversity within intensive agricultural landscapes.</p>
Data from Beyond MAP: A guide to dimensions of rainfall variability for tropical ecology
<p>Tropical ecologists have long recognized rainfall as the key climate filter shaping tropical ecosystem structure and function across space and time. Still, tropical ecologists have historically had a limited toolkit for characterizing rainfall, largely relying on simple metrics like mean annual precipitation (MAP) and dry season length to characterize rainfall regimes that vary along many more dimensions. Here, we review methods for quantifying dimensions of rainfall variability on multiple time scales, with a focus on ecological applications of these methods. We also discuss key considerations for tropical ecologists looking to use rainfall metrics that better align with hypothesized biological or ecological mechanisms or that more effectively describe rainfall variability in the systems we study, and provide a toolkit (R scripts and gridded datasets) to do so. We argue that incorporating more sophisticated approaches to quantify rainfall variability into study design and statistical analyses will enhance our understanding of past, ongoing, and future changes in tropical ecosystems. </p>
Data for GRL Article "Resolved Convection Improves the Representation of Equatorial Waves and Tropical Rainfall Variability in a Global Nonhydrostatic Model"
This repository contains mandatory material to reproduce the results of the GRL article "Resolved Convection Improves the Representation of Equatorial Waves and Tropical Rainfall Variability in a Global Nonhydrostatic Model" [Paper #2021GL093265RR].
Distribution. Now restricted to the Channel Country of SW Queensland and the Lake Eyre Basin in NE South Australia. Descriptive notes. Head-body 95-120 mm, tail 105-160 mm, ear 23-29 mm, hindfoot 32-37 mm; weight 30-50 g. The Fawn Hopping Mouse has body form typical of hopping mice, with very long hindfeet, long tail with distal brush of longer hairs, very long ears, and large protruberant eyes. Dorsal fur is of variable color, from pale pinkish fawn to gray; ventral fur white. Unlike most other hopping mice, it has no throat pouch, but males have a glandular area of naked skin on the chest. Habitat. Occurs in low shrublands and tussock grasslands on stony ("gibber") plains and claypans. Shows marked habitat segregation from the Dusky Hopping Mouse (N. fuscus), which is closely associated with sandy substrates. Food and Feeding. The Fawn Hopping Mouse is mostly granivorous, but also eats other plant material (stems, leaves) and occasionally invertebrates. It uses succulent, salt-adapted plants around edges of claypans as a source of water. Breeding. Reproduction is probably largely opportunistic and aseasonal, with high reproductive output from near-continuous breeding after periods of high rainfall; reported littersize is 1-5, most commonly three; gestation period 38-43 days for nonlactating females. Females may mature later than other hopping mice, with reproductive maturity reached at about six months. Activity patterns. Terrestrial and nocturnal. Fawn Hopping Mice shelter during day in burrow systems that are typically simpler and shallower than those of other hopping mice. Movements, Home range and Social organization. Fawn Hopping Mice generally live singly or in small groups; typically uncommon within range, but population density may increase by an order of magnitude following periods of high rainfall. Status and Conservation. Classified as Near Threatened on The IUCN Red List. The Fawn Hopping Mouse has shown marked decline in range (estimated at greater than 50%), and presumably population size, since European settlement of Australia. This is mostlikely due to predation by the introduced house cat and Red Fox (Vulpes vulpes), and to habitat degradation associated with pastoralism. Bibliography. Brazenor (1934), Burbidge et al. (2008), Finlayson (1939), Gould (1853), Jackson & Groves (2015), Murray et al. (1999), Ogilby (1892), Thomas (1921h), Van Dyck & Strahan (2008), Waite (1898), Watts & Aslin (1981), Woinarski et al. (2014), Wood Jones (1925). in Muridae
Distribution. Now restricted to the Channel Country of SW Queensland and the Lake Eyre Basin in NE South Australia. Descriptive notes. Head-body 95-120 mm, tail 105-160 mm, ear 23-29 mm, hindfoot 32-37 mm; weight 30-50 g. The Fawn Hopping Mouse has body form typical of hopping mice, with very long hindfeet, long tail with distal brush of longer hairs, very long ears, and large protruberant eyes. Dorsal fur is of variable color, from pale pinkish fawn to gray; ventral fur white. Unlike most other hopping mice, it has no throat pouch, but males have a glandular area of naked skin on the chest. Habitat. Occurs in low shrublands and tussock grasslands on stony ("gibber") plains and claypans. Shows marked habitat segregation from the Dusky Hopping Mouse (N. fuscus), which is closely associated with sandy substrates. Food and Feeding. The Fawn Hopping Mouse is mostly granivorous, but also eats other plant material (stems, leaves) and occasionally invertebrates. It uses succulent, salt-adapted plants around edges of claypans as a source of water. Breeding. Reproduction is probably largely opportunistic and aseasonal, with high reproductive output from near-continuous breeding after periods of high rainfall; reported littersize is 1-5, most commonly three; gestation period 38-43 days for nonlactating females. Females may mature later than other hopping mice, with reproductive maturity reached at about six months. Activity patterns. Terrestrial and nocturnal. Fawn Hopping Mice shelter during day in burrow systems that are typically simpler and shallower than those of other hopping mice. Movements, Home range and Social organization. Fawn Hopping Mice generally live singly or in small groups; typically uncommon within range, but population density may increase by an order of magnitude following periods of high rainfall. Status and Conservation. Classified as Near Threatened on The IUCN Red List. The Fawn Hopping Mouse has shown marked decline in range (estimated at greater than 50%), and presumably population size, since European settlement of Australia. This is mostlikely due to predation by the introduced house cat and Red Fox (Vulpes vulpes), and to habitat degradation associated with pastoralism. Bibliography. Brazenor (1934), Burbidge et al. (2008), Finlayson (1939), Gould (1853), Jackson & Groves (2015), Murray et al. (1999), Ogilby (1892), Thomas (1921h), Van Dyck & Strahan (2008), Waite (1898), Watts & Aslin (1981), Woinarski et al. (2014), Wood Jones (1925).
Pacific Walker Circulation modulated millennial-scale Asian monsoon rainfall variability over past 40 kyr
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Feldman et al. 2024 "Large global scale vegetation sensitivity to daily rainfall variability"
<p>These data and scripts are a part of the Feldman et al. manuscript accepted in principle titled "Large global scale vegetation sensitivity to daily rainfall variability".</p> <p>The data and scripts here can be used to generate all steps of the analysis. It includes:</p> <p>(1) The final generated outputs of the analysis and the python script to generate the figures in the main text, extended data, and supplemental information. This figure generation script is: "MainScript_GenerateFigures_V4.py"</p> <p>(2) The python script to conduct the main analysis in an example region in Africa, which is named: "MainScript_SatelliteVegetationProcessing_Example.py". </p> <p>(3) The python script to conduct the main analysis across the globe (to generate figure 1), which is named: "MainScript_SatelliteVegetationProcessing_V2.py". Input data for this script are available at a separate Zenodo account here: https://zenodo.org/records/10947071.</p> <p>(4) Scripts and input data to conduct rainfall trend analyses and mechanism analyses.</p> <p>(5) Scripts to show how the gridded datasets were processed into their one degree gridding to be input into other components of the analysis.</p> <p>Due to their size, the full global datasets to conduct the global analysis are available on a separate Zenodo account here: https://zenodo.org/records/10947071.</p> <p>Please consult the README.txt file for more information about python and names of files and scripts being used. </p> <p>For any use of the datasets and scripts, please cite (1) the Feldman et al "Large global scale vegetation sensitivity to daily rainfall variability" publication. Additionally, (2) please acknowledge the use of the scripts and/or datasets in the acknowledgements section of your publication. The use of any scripts or data are not allowed unless the paper is in print. For questions, please contact Andrew Feldman at andrew.feldman@nasa.gov. </p>
Ecohydrological response of a tropical peatland to rainfall changes driven by intertropical convergence zone variability
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Complexity within an oil palm monoculture: the effects of habitat variability and rainfall on adult dragonfly (Odonata) communities.
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Data from Beyond MAP: A guide to dimensions of rainfall variability for tropical ecology
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Data from: Morphological variability in propagules of a desert annual as a function of rainfall patterns at different temporal and spatial scales
1.Organisms living in highly variable environments have to display integrated strategies to deal with both systematic and random variation occurring at different temporal and spatial scales. Two predictions were tested by analysing geographic-scale patterns of seed size and seed retention (serotiny) in Chorizanthe rigida, a strict winter desert annual that delays seed dispersal and releases propagules after rainfall events: (a) Adaptation to systematic environmental cues occurs by means of changes in morphology, and (b) within-individual variation in seed size allows a differential response to rainfall cues: while some seeds germinate rapidly others are retained for future rainfall events. 2.We quantified morphological variation and performed germination experiments on C. rigida propagules (involucres + achenes) from six populations distributed throughout the Mojave and Sonoran deserts covering: (a) a systematic, west-to-east, winter-to-bi-seasonal (summer and winter) precipitation gradient, and (b) a winter-rain unpredictability gradient inferred from long-term climatic data. 3.The propagule retention structure (i.e., base area of the pedicel) of C. rigida individuals experiencing bi-seasonal rainfall are double the size of those that have evolved under a strict winter rainfall regime, showing that populations living in bi-seasonal environments have higher seed retention which allows them to avoid releasing seeds to a summer rainfall cue. 4.Within-individual variance of propagule size varied significantly between populations and was correlated with winter rainfall variability in each site. 5.Germination varied as a function of propagule size; smaller seeds germinated more readily than larger seeds. Increased variability in propagule size might result in a more variable germination response. 6.Under common experimental conditions germination varied significantly among sites and was negatively correlated with mean winter effective precipitation, suggesting that propagules from populations in drier sites have lower germination moisture thresholds. 7.Synthesis. C. rigida propagules have larger bases in deserts with biseasonal rainfall, which allows them to avoid seed release during summer rainfall cues, and display within-individual seed variance associated to rainfall unpredictability, a trait often interpreted as a bet-hedging strategy. Our study provides empirical evidence of an integrated strategy that allows to cope with both random and systematic rainfall variation.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.