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16 results for “ice phenology”
IISD Experimental Lakes Area: Ice Phenology and Thickness, 1969-2025 (partial start/end years).
The IISD Experimental Lakes Area (IISD-ELA) Ice Phenology and Thickness data package provides two types of ice data from multiple lakes in northwestern Ontario, Canada. Ice phenology is the timing of when lakes freeze over in the fall and thaw out in the spring, as an ice-on and ice-off date each year, and the days of ice duration for each winter. Ice thickness data includes total ice thickness as well as the complex breakdown of individual layers (snow, slush, white ice, black ice). This data package includes both tabular data and metadata files for each type of ice data. The ice phenology table consists of a row for each ice-on date, ice-off date, and ice duration period for each lake, including the associated sampling method and any comments. The ice thickness table has a row for each measurement of a frozen lake on a specific date, including the total ice thickness and the thickness of individual layers as column values for each row. Metadata in this data package include a table of location coordinates and record counts, and an information sheet for ice phenology and one for ice thickness. The table of coordinates and counts is useful to know where the lakes and specific sampling sites are located and as an overview of data availability per lake (Lake 239 has the longest and most consistent data record, for both ice phenology and thickness). The two info sheets provide additional metadata details about the datasets, including background and uses of the datasets, a data dictionary, diagrams, lookup tables, descriptions of methods, and additional references. For data about lake depth, size, and volume, please consult the most recent version of our bathymetry data package: https://portal.edirepository.org/nis/revisionbrowse?scope=edi&identifier=1276 This data package is ongoing—updates will be provided as data are collected from these lakes in subsequent years. If data are not present for a lake you are interested in from IISD-ELA, please get in touch with us. The
Ice Phenology for 58 Lakes in Maine, USA, 2002/2003-2017/2018
This dataset contains ice phenology for 58 lakes in Maine, USA between winter 2002/2003 and 2017/2018 from the Lake Stewards of Maine Volunteer Lake Monitoring Program, Maine Department of Environmental Protection, and the Auburn Water District/Lewiston Water Division. Ice-off data in this dataset are available for all 58 lakes, ice-on data are available for 13 lakes. These data are a subset of all ice phenology data available from each of the data sources. Lakes had at least four years of ice phenology data and each lake is at least 3 km2 to facilitate the pairing of MODIS temperature data.
A data repository for: Changing phytoplankton phenology in the marginal ice zone west of the Antarctic Peninsula
<p>This data repository is a permanent archive of the results presented in the associated publication (Turner et al. 2024, Marine Ecology Progress Series, <a href="https://doi.org/10.3354/meps14567">https://doi.org/10.3354/meps14567</a>). The objective of this study was to investigate phytoplankton phenology patterns west of the Antarctic Peninsula using satellite ocean color remote sensing data. This dataset extends from 80<sup>o</sup>W to 55<sup>o</sup>W longitude and from 70<sup>o</sup>S to 60<sup>o</sup>S latitude. The data span the time period September 1997 through August 2022. This dataset includes the data and code used to create the figures in the publication. The data in this repository include chlorophyll-a concentration (Chl-a), dates of phytoplankton bloom start date and phytoplankton bloom peak date, photosynthetically active radiation (PAR), sea surface temperature (SST), wind speed, and dates of sea ice retreat and advance. Downloaded spatially-subsetted data files are included as netCDF files (extension .nc) compressed into .zip archives. Additional files used to perform the analyses and make the figures are included as MATLAB scripts and MATLAB data files (extensions .m and .mat, respectively). </p> <p>Recommended citation:</p> <p>Turner, Jessica S., (2024) A data repository for: Changing phytoplankton phenology in the marginal ice zone west of the Antarctic Peninsula. Zenodo. https://doi.org/10.5281/zenodo.10790613</p>
Ice Phenology Lake Auburn, Maine, USA, 1836-2022
This dataset contains ice phenology for Lake Auburn, Maine, USA from the ice season of 1835-1836 through 2021-2022. This dataset is maintained by the Auburn Water District/Lewiston Water Division. Ice-on data begin in the early 1950s.
Walleye spawning, ice phenology, and covariate data for Upper Midwestern Lakes: 1939-2019
The phenology of critical biological events in aquatic ecosystems are rapidly shifting due to climate change. Growing variability in phenological cues can increase the likelihood of trophic mismatches, causing recruitment failures in commercially, culturally, and recreationally important fisheries. We tested for changes in spawning phenology of regionally important walleye (Sander vitreus) populations in 194 Midwest US lakes in Minnesota, Michigan, and Wisconsin spanning 1939-2019 to investigate factors influencing walleye phenological responses to climate change and associated climate variability, including ice-off timing, lake physical characteristics, and population stocking history. Data from Wisconsin and Michigan lakes (185 and 5 out of 194 total lakes, respectively) were collected by the Wisconsin Department of Natural Resources (WDNR) and the Great Lakes Indian Fish and Wildlife Commission (GLIFWC) through standardized spring walleye mark-recapture surveys and spring tribal harvest season records. Standardized spring mark-recapture population estimates are performed shortly after ice-off, where following a marking event, a subsequent recapture sampling event is conducted using nighttime electrofishing (typically AC – WDNR, pulsed-DC – GLIFWC) of the entire shoreline including islands for small lakes and index stations for large lakes (Hansen et al. 2015) that is timed to coincide with peak walleye spawning activity (G. Hatzenbeler, WDNR, personal communication; M. Luehring, GLIFWC, personal communication; Beard et al. 1997). Data for four additional Minnesota lakes were collected by the Minnesota Department of Natural Resources (MNDNR) beginning in 1939 during annual collections of walleye eggs and broodstock (Schneider et al. 2010), where date of peak egg take was used to index peak spawning activity. For lakes where spawning location did not match the lake for which the ice-off data was collected, the spawning location either flowed into (Pike River) or wa
Geographic variation and temporal trends in ice phenology in Norwegian lakes during a century
<p>The physical characteristics of ice formation in water courses are ideal for studying climatic variation in space and time. We used a large set of observations for 9-116 years (1890-2019) of the timing of freeze-up and break-up, and the length of ice-free season for 99 Norwegian lakes to elucidate variation in ice phenology across space and time. The dataset of Norwegian lakes is unusual, covering considerable variation in altitude (4 – 1401 m above sea level) and climate (varying from oceanic to continental) within a large latitudinal and longitudinal gradient (58.2 – 69.9 °N; 4.9 – 30.2 °E).</p> <p>The average date of ice break-up occurred later in spring with increasing altitude and latitude, but earlier in spring with increasing longitude. The average date of freeze-up and the length of the ice-free period decreased significantly with altitude and longitude. No correlation with distance from the ocean was detected. The geographical gradients are related to regional climate due to adiabatic processes (altitude), solar radian (latitude) and the degree of continentality (longitude). There was a significant lake area effect as small lakes froze-up earlier due to less volume. There was also a significant trend that lakes were completely frozen over later in the autumn in recent years. After accounting for the effect of long-term trends in the large-scale NAO index, a significant but weak trend over time for earlier ice break-up was detected. An understanding of the relationship between ice phenology and geographical parameters is a prerequisite for predicting the potential consequences of climate change on ice phenology. Changes in ice phenology will have consequences for the behaviour and life cycle dynamics of the aquatic biota.</p>
Lake Ulansu Ice Phenology Data (1941–2023)
<p>This dataset contains the ice phenology data of Lake Ulansu from 1941 to 2023, derived using passive microwave data for the period 1979–2023 and extended back to 1941 through a random forest model. The data provides insights into the freeze-up start, break-up end, and ice cover duration, contributing to the understanding of ice phenology in the context of climate change.</p>
Phenological changes in stratification and overturning of Northern Hemisphere ice-covered lakes
<p>The data and codes to reproduce analysis and visualization in the paper entitled "Projected phenological shifts in stratification and overturning of ice-covered Northern Hemisphere lakes"</p>
Snow phenological parameters based on Northern Hemisphere EASE Grid 2.0 Weekly Snow and Sea Ice Extent (NHSCE) from 1972-2019
<p>This dataset include three parts to obtain Figures 1 and 2 in the study of "<strong>Review of snow phenology variation in the Northern Hemisphere and its relationship with climate and vegetation</strong>". The first one is the annual spatial distribution maps of the Snow Cover Onset Date(SCOD), Snow Cover End Date(SCED) and the Snow Cover Days(SCD). The second one is the annual average SCOD, SCED and SCD. The three one is the annual statistics of the SCOD, SCED and SCD. The snow phenological parameters are calculated based on Northern Hemisphere EASE Grid 2.0 Weekly Snow and Sea Ice Extent (NHSCE).</p>
Towards rainy high Arctic winters: how experimental icing and summer warming affect tundra plant phenology, productivity and reproduction
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Geographic variation and temporal trends in ice phenology in Norwegian lakes during a century
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Ice phenology and under-ice temperature and oxygen data for lakes of the Sierra Nevada, CA
<anchor id="_Hlk62995535"/>Warming winters will reduce ice cover and change under-ice conditions in temperate mountain lakes, where snow comprises most of winter cover on lakes. Snow-dominated mountain lakes are abundant and highly susceptible to climate warming, yet we lack an understanding of how climate variation and local attributes influence winter processes. We investigated climatic and intrinsic controls on ice phenology, water temperature, and bottom-water dissolved oxygen (DO) in 15 morphologically diverse lakes in the Sierra Nevada and Klamath mountains of California, USA, using high frequency measurements from multiple (2-5) winters. We found that ice phenology was determined by winter climate variables (snowfall, air temperature) that influence ice-off timing, whereas ice-on timing was relatively invariant among years. Lake size and morphology mediated the effect of climate on lake temperature and DO dynamics in early and late winter. Rates of hypolimnetic DO decline were highest in small, shallow lakes, and were unrelated to water temperature. Temperature and oxygen dynamics were more variable in small lakes because heavy snowfall caused ice submergence, mixing, and DO replenishment that affected the entire water column. As persistence of snow declines in temperate mountain regions, autumn and spring climatic conditions are expected to gain importance in regulating lake ice phenology. Water temperature and DO will likely increase in most lakes during winter as snowpack declines, but morphological attributes such as lake size will determine the sensitivity of ice phenology and under-ice processes to climate change.
Data from: Tracking ice phenology by migratory waterbirds: settling phenology and breeding success of species with divergent population trends
<p>Dependence on climate-driven environmental cues in the initiation of life cycle stages is a critical attribute when assessing vulnerability of species to climate change impacts. This study focused on spring ice phenology as a cue to the settling of migratory waterbirds, asking whether there is an asynchrony between ice phenology and setting phenology that could affect breeding success of six species with divergent population trends. In the 37 study lakes in southeastern Finland, the ice-out date not only varied considerably between years, but became progressively earlier during the study period, 1991–2018. Settling phenology of all species tracked inter-annual variation in ice phenology. However, the degree of asynchrony between ice phenology and settling phenology varied between species, allowing discrimination between early and late settlers. Considerable inter-annual variation also occurred within species, but in only one species did the degree of asynchrony correlate with the ice-out date: for the horned grebe Podiceps auritus an earlier ice-out date meant greater asynchrony between settling phenology and ice phenology. The degree of asynchrony between settling phenology and ice phenology did not affect breeding success in any species. However, ice phenology per se affected breeding success of horned grebes: earlier ice-out was associated with lower annual breeding success. Breeding numbers of horned grebe showed a long-term decline. Results suggest that short-distance migratory birds are able to respond to climate change-driven phenological changes in their breeding environments, and that this ability may not depend on the relative timing of breeding.</p>
Data from: Tracking ice phenology by migratory waterbirds: settling phenology and breeding success of species with divergent population trends
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Daily Lake Ice Phenology Time Series Derived from AMSR-E and AMSR2, Version 1
The Daily Lake Ice Phenology Time Series Derived from AMSR-E and AMSR2 provides 5 km ice phenology retrievals describing daily lake ice conditions (ice-on/ice-off) over the Northern Hemisphere. This satellite-based data set allows for rapid assessment and regional monitoring of seasonal ice coverage over large lakes with resulting accuracy suitable for global change studies. Data are provided in the 5 km Northern Hemisphere Equal-Area Scalable Earth Grid 2.0 (EASE-Grid 2.0).
Global Lake and River Ice Phenology Database, Version 1
The Global Lake and River Ice Phenology Database contains freeze and thaw/breakup dates as well as other descriptive ice cover data for 865 lakes and rivers in the Northern Hemisphere. Of the 542 water bodies that have records longer than 19 years, 370 of them are in North America and 172 are in Eurasia. 249 lakes and rivers have records longer than 50 years, and 66 have records longer than 100 years. A few water bodies have data available prior to 1845. This database, with water bodies distributed around the Northern Hemisphere, allows for the analysis of broad spatial patterns as well as long-term temporal patterns.
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