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84 results for “Meridion”
FIGURES 4–41. 4–29 in Two new species of the diatom genus Meridion (Bacillariophyta, Tabellariaceae) from Aleutian Islands
FIGURES 4–41. 4–29. Meridion tenuipes sp. nov., LM, type material, slide MW-D 1099s1, Fig. 6 represents the holotype. 30–41. Meridion humerosum sp. nov., LM, type material, slide MW-D 1099s1, Fig. 32 represents the holotype. 4–20, 31–41. Valve views. 21–30. Girdle views. Scale bar = 10 µm.
FIGURE 2 in New species of Microlicia (Melastomataceae) from the Espinhaço Meridional and Septentrional of Minas Gerais, Brazil
FIGURE 2. Distributions of Microlicia rosanae, M. septentrionalis, and similar species. A. Brazil with eastern states highlighted. B. Eastern Brazil with Espinhaço Meridional, Espinhaço Septentrional, and Chapada Diamantina of the Cadeia do Espinhaço outlined.
FIGURE 4 in New species of Microlicia (Melastomataceae) from the Espinhaço Meridional and Septentrional of Minas Gerais, Brazil
FIGURE 4. Photos of living plants. A. Microlicia gentianoides (flower). B. Microlicia mellobarretoi (flower). C–F. Microlicia septentrionalis. C. Branch showing leaf scars and abaxial leaf surfaces. D. Flower bud showing red band on abaxial petal surface. E. Branch with unopened flower. F. Flower.
FIGURE 3. Microlicia septentrionalis. A. Habit. B in New species of Microlicia (Melastomataceae) from the Espinhaço Meridional and Septentrional of Minas Gerais, Brazil
FIGURE 3. Microlicia septentrionalis. A. Habit. B. Representative leaf (adaxial surface). C. Representative leaf (abaxial surface). D. Enlargement of abaxial foliar surface showing glandular-punctations. E. Flower at anthesis (profile view). F. Hypanthium (at anthesis) with petals and androecium removed. G. Petal (adaxial surface). H. Portion of petal enlarged to show glandular-ciliolate margin. I. Antesepalous stamen (right) and antepetalous stamen (left). J. Ovary and style. K. Ovary apex showing glandular trichomes. L. Distal portion of style and stigma. M. Ovary in cross section. N. Fruiting hypanthium (nearly mature) in profile view. O. Seeds (ventral view on right and lateral view on left). Drawn from SPF isotype.
Selected data analyzed in the JGR Atmosphere manuscript "Atmospheric meridional circulation between South Asia and Tibetan Plateau caused by the change of planetary boundary layer depth."
<p>1. The PBL depth dataset including the PBL type (the convective boundary layer, the neutral boundary layer, and the stable boundary layer) and the calculated the PBL depths at the 19 stations for the 2013-2015 summers.</p> <p>2. The control experiment (WRF-CTL) and the MEP experiment (WRF-MEP) simulations results including PBL depth and geopotential height at 500 hPa at 00:00 UTC, 06:00 UTC, 12:00 UTC, and 18:00 and hourly sensible and latent heat. The simulation period was 1 June to 31 August 2015 with 30 hours from 12:00 UTC (20:00 Beijing time (BJT)) each day.</p>
Selected data analyzed in the JGR Atmosphere manuscript "Atmospheric meridional circulation between South Asia and Tibetan Plateau caused by the change of planetary boundary layer depth."
<p>1. The PBL depth dataset including the PBL type (the convective boundary layer, the neutral boundary layer, and the stable boundary layer) and the calculated the PBL depths at the 19 stations for the 2013-2015 summers.</p> <p>2. The control experiment (WRF-CTL) and the MEP experiment (WRF-MEP) simulations results including PBL depth and geopotential height at 500 hPa at 00:00 UTC, 06:00 UTC, 12:00 UTC, and 18:00 and hourly sensible, latent heat and thermal radiation (net longwave radiation). The simulation period was 1 June to 31 August 2015 with 30 hours from 12:00 UTC (20:00 Beijing time (BJT)) each day.</p>
Atlantic Meridional Transect (AMT) 14: scanning electron microscopy images of the coccolithophore community
<p>Legacy scanning electron microscopy (SEM) images of plankton samples that were taken during Atlantic Meridional Transect cruise 14 (AMT 14), which sailed between the Faulkland Islands and the UK in 2004 (for more information see https://www.amt-uk.org/Cruises/AMT14 and the link to the cruise report therein). The SEM methodology applied to generate these images is described in Poulton et al. (2017) Coccolithophore ecology in the tropical and subtropical Atlantic Ocean: New perspectives from the Atlantic meridional transect (AMT) programme. <em>Prog. Oceanogr.</em> <strong>158</strong>, 150–170 and follows Charalampopoulou et al. (2011) Irradiance and pH affect coccolithophore community composition on a transect between the North Sea and the Arctic Ocean. <em>Mar. Ecol. Prog. Ser.</em> <strong>431</strong>, 25–43. </p> <p>The 16 samples currently in this entry are from nine CTD stations of AMT14. There is a unique, compressed (.zip) file of SEM images for each sample (CTD station and water depth) with the following naming scheme: </p> <p>AMT14_CTD#_A_WD,</p> <p>where CTD# denotes CTD number (e.g. CTD6), A denotes percentage of surface irradience level (e.g. 55 is 55% of surface irradience), and WD is water depth (m) of sample. </p> <p> </p> <p>Each compressed sample folder contains ca. 600-700 SEM images in TIF file format. The name of each image relates to the date (day_month_image number) the image was taken on. </p> <p> </p> <p>Correspondence should be directed to: Alex J. Poulton, Heriot-Watt University (a.poulton@hw.ac.uk)</p> <p>Please cite this compilation of SEM images in full (including doi) and acknowledge the Atlantic Meridional Transect programme if you are using these images: "AMT 14 was supported by the UK Natural Environment Research Council (NERC) through the Atlantic Meridional Transect consortium (NER/O/S/2001/00680)"</p> <p> </p> <p><strong>Associated publications:</strong><br>Poulton, A. J., Holligan, P. M., Charalampopoulou, A. & Adey, T. R. Coccolithophore ecology in the tropical and subtropical Atlantic Ocean: New perspectives from the Atlantic meridional transect (AMT) programme. <em>Prog. Oceanogr.</em> <strong>158</strong>, 150–170 (2017).</p> <p>Sheward, R. M., Poulton, A.J., Young, J.R., de Vries, J., Monteiro, F.M. & Herrle, J.O. Cellular morphological trait dataset for extant coccolithophores from the Atlantic Ocean. Submitted to <em>Scientific Data</em> in Janurary 2024.</p>
Meteor wind data (zonal and meridional)
<p>SuperDARN meteor wind data, based on https://doi.org/10.20383/102.0558</p> <p>*.m.* - meridional</p> <p>*.z.* - zonal</p> <p>X/Y are in radar coordinates - most users can disregard. </p> <p> </p> <p>Supported by NSF #1934973</p> <p>Collaborative Research: Super Dual Auroral Radar Network (SuperDARN) Operations, Research and Community Support</p> <p> </p> <p> </p> <p>SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgment of data by its users. Guidelines for data acknowledgment are as follows:</p> <p>When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection.</p> <p>For all usage of SuperDARN data, users are asked to include the following standard acknowledgment text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.”</p> <p>While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data.</p> <p>The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.</p>
Meridional propagation of carbon dioxide (CO2) growth rate and flux anomalies from the tropics due to ENSO
<p>El Niño Southern Oscillation (ENSO) influence on carbon dioxide (CO2) growth rates are not spatially uniform or simultaneous around the globe. Using atmospheric CO2 observations and atmospheric chemistry-transport model (ACTM), we show that the anomalies in CO2 fluxes and growth rate originate in the tropics, as an effect of ENSO. The CO2 anomalies are then propagated from the equator toward the poles with asymmetric delays. A maximum delay of about 8 and 4 months are found at the northern hemisphere (NH) and southern hemisphere (SH) high latitudes, respectively. This asymmetric time delay is because the CO2 flux anomaly mainly originate in the tropical SH land and transport of SH air into the NH is slower than that for NH air into the SH. The poleward increase of time delay is more homogeneous in the upper troposphere, as per the ACTM simulations, but observational evidence suffers from gaps in <br> long-term measurements.</p>
Influences of the Pacific Meridional Mode and Marine Heatwave on North American Precipitation during the 2023-24 El Niño Winter
<p><span>The codes used for analyzing the data and generating all figures in this study</span></p>
TROPESS Chemical Reanalysis Surface Meridional Wind 2-Hourly 2-dimensional Product V1 (TRPSCRV2H2D) at GES DISC
The TROPESS Chemical Reanalysis Surface Meridional Wind 2-Hourly 2-dimensional Product contains surface meridional wind component (v vector) values, a meteorological field. The data are part of the Tropospheric Chemical Reanalysis v2 (TCR-2) for the period 2005-2021. TCR-2 uses JPL's Multi-mOdel Multi-cOnstituent Chemical (MOMO-Chem) data assimilation framework that simultaneously optimizes both concentrations and emissions of multiple species from multiple satellite sensors.The data files are written in the netCDF version 4 file format, and each file contains a year of data at 2-hourly resolution, and a spatial resolution of 1.125 x 1.125 degrees. The principal investigator for the TCR-2 data is Miyazaki, Kazuyuki.
TROPESS Chemical Reanalysis Meridional Wind Monthly 3-dimensional Product V1 (TRPSCRVM3D) at GES DISC
The TROPESS Chemical Reanalysis Meridional Wind Monthly 3-dimensional Product contains vertical meridional wind component (v vector) values, a meteorological field. The data are part of the Tropospheric Chemical Reanalysis v2 (TCR-2) for the period 2005-2021. TCR-2 uses JPL's Multi-mOdel Multi-cOnstituent Chemical (MOMO-Chem) data assimilation framework that simultaneously optimizes both concentrations and emissions of multiple species from multiple satellite sensors.The data files are written in the netCDF version 4 file format, and each file contains a year of data at monthly resolution, and a spatial resolution of 1.125 x 1.125 degrees at 27 pressure levels between 1000 and 60 hPa. The principal investigator for the TCR-2 data is Miyazaki, Kazuyuki.
TROPESS Chemical Reanalysis Meridional Wind 6-Hourly 3-dimensional Product V1 (TRPSCRV6H3D) at GES DISC
The TROPESS Chemical Reanalysis Meridional Wind 6-Hourly 3-dimensional Product contains vertical meridional wind component (v vector) values, a meteorological field. The data are part of the Tropospheric Chemical Reanalysis v2 (TCR-2) for the period 2005-2021. TCR-2 uses JPL's Multi-mOdel Multi-cOnstituent Chemical (MOMO-Chem) data assimilation framework that simultaneously optimizes both concentrations and emissions of multiple species from multiple satellite sensors.The data files are written in the netCDF version 4 file format, and each file contains a year of data at 6-hourly resolution, and a spatial resolution of 1.125 x 1.125 degrees at 27 pressure levels between 1000 and 60 hPa. The principal investigator for the TCR-2 data is Miyazaki, Kazuyuki.
Quantifying meridional advection in the auroral E-region for a range of geomagnetic activity levels
<p>This repository contains the data used to reproduce the plots in the paper titled:</p> <p><em>Quantifying meridional advection in the auroral E-region for a range of geomagnetic activity levels</em></p> <p>The paper was first submitted on XX/2024 and accepted at XX/2024.</p> <p>A GitHub repository with the code used to produce the plots in the paper will be posted at ZZZZ.</p>
FESOM 2.0 computation of meridional overturning and barotropic streamfunctions
<p>The dataset as well as the Python code related to the article "Simple algorithms to compute meridional overturning and barotropic streamfunction on unstructured meshes" submitted to GMD, 2019</p>
The Atlantic meridional overturning circulation at 35N from deep moorings, floats, and satellite altimeter
<p>These are the data that accompany the publication "The Atlantic meridional overturning circulation at 35N from deep moorings, floats, and satellite altimeter" by Le Bras, Willis, and Fenty.</p> <p>The netcdf file AMOC35.nc includes the final Atlantic meridional overturning circulation (AMOC) transports presented in the manuscript. It includes "AMOCdepth": the AMOC transport in depth space; "AMOCsigma": the AMOC transport in density space (specifically potential density referenced to 2000m); "psi": the integrated across-basin transport streamfunction in depth space; and "Ekman": is the Ekman transport time series derived from CCMP as described in the manuscript. Note that the Ekman transport is included in the total AMOC transport; we provide it here so that it can be easily removed. All variables in AMOC35.nc have units of Sverdrups (Sv).</p> <p>The netcdf file AMOC35_gridded_velocities.nc is significantly larger. It includes "vg" (in m/s): the geostrophic velocity through the section; "sigma2" (in kg/m<sup>3</sup>): the potential density anomaly referenced to 2000m; "bathymetry" (in m): the depth of the sea floor along the section; and "area" (in m<sup>2</sup>): the area of each grid point. Note that no total transport correction has been applied to this geostrophic velocity; the AMOC transport cannot be extracted directly from it. This velocity and the auxiliary fields are provided for those who wish to reproduce and test our results.</p> <p>Both files were saved as structured python xarray Datasets with labeled coordinates (https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html). In AMOC35.nc, the coordinates are "date" (in python datetime format) and "depth" (in m). The alternatives "time" (in decimal years) and "pressure" (in db) are also available. AMOC35_gridded_velocities.nc additionally includes the coordinate "distance" (in km) with longitude ("lon") and latitude ("lat"), also available.</p>
Overview of the simulation result on a meridional plane
<p><span>The movie is 27 seconds long, showing an overview of the disk and outflow evolution in our model.</span></p>
FIGURES 42–48 in Two new species of the diatom genus Meridion (Bacillariophyta, Tabellariaceae) from Aleutian Islands
FIGURES 42–48. Meridion teniupes sp. nov., SEM, type material. 42. Whole frustule in girdle view. 43. External valve surface. 44. Internal valve surface. 45. Internal valve surface and valvocopula. 46–47. External surface of the headpole. 48. External surface of the footpole. Scale bars = 5 µm (42–45), 1 µm (46–48).
FIGURES 49–52 in Two new species of the diatom genus Meridion (Bacillariophyta, Tabellariaceae) from Aleutian Islands
FIGURES 49–52. Meridion humerosum sp. nov., SEM, type material. 49–51. External valve surface. 50. Headpole of the valve depicted in Fig. 49. 52. Internal valve surface and part of valvocopula. Scale bars = 5 µm (49, 51, 52), 1 µm (50).
FIGURE 1. Microlicia rosanae. A. Habit. B in New species of Microlicia (Melastomataceae) from the Espinhaço Meridional and Septentrional of Minas Gerais, Brazil
FIGURE 1. Microlicia rosanae. A. Habit. B. Representative leaves, adaxial surface (left) and abaxial surface (right). C. Flower at anthesis (profile view). D. Hypanthium (at anthesis) with petals and androecium removed. E. Hypanthial surface enlarged to show indumentum. F. Petal (adaxial surface). G. Portion of petal enlarged to show glandular-ciliolate margin. H. Antesepalous stamen (right) and antepetalous stamen (left). I. Ovary and style. J. Distal portion of style and stigma. K. Ovary in cross section. Drawn from UEC isotype.
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