Ceilometer Observation of Seasonal and Diurnal Variation in Cloud Cover Fraction, Cloud Base Height, and Visual Range in the Eastern Amazon Region Matthew.

Slides:



Advertisements
Similar presentations
Mesoclimate of the LBA-ECO Santarem Study Area David Fitzjarrald Ricardo Sakai Osvaldo Moraes Matt Czikowsky Otavio Acevedo Raimundo Cosme de Oliveira.
Advertisements

Observation and numerical simulation of the river breeze circulation in the vicinity of the Tapajós and Amazon rivers Maria A. F. Silva Dias (1) Marcos.
Evidence of nocturnal horizontal transport of CO 2 at an Amazon pasture/agricultural site Otávio Acevedo, Osvaldo Moraes, Rodrigo da Silva Universidade.
The Surface-based Temperature Inversion on the Antarctic Plateau Stephen R. Hudson and Richard E. Brandt University of Washington Contact Information:
Why the Earth has seasons  Earth revolves in elliptical path around sun every 365 days.  Earth rotates counterclockwise or eastward every 24 hours.
Aerosol Pattern over Southeastern Europe Rudolf B. Husar and Janja D. Husar CAPITA, Washington University, St. Louis, MO Conference on Visibility, Aerosols,
A Spatial Climatology of Convection in the Northeast U.S. John Murray and Brian A. Colle National Weather Service, WFO New York NY Stony Brook University,
UNSTABLE, DRI and Water Cycling Ronald Stewart McGill University.
Precipitation Shadows in the Hudson Valley Hudson Valley Ambient Meteorology Study (HVAMS) National Science Foundation, Physical Meteorology Section David.
NATS 101 Lecture 3 Climate and Weather. Climate and Weather “Climate is what you expect. Weather is what you get.” -Robert A. Heinlein.
LBA-Ecology Pasture Site Solar panels Tower Jungle Research Group, Atmospheric Sciences Research Center, University at Albany, SUNY Flux observations at.
Local Boundary Layer phenomena & flux estimation in LBA 2ª Reunión Nacional de Ciencias de la Tierra UNIÓN GEOFÍSICA MEXICANA David Fitzjarrald Jungle.
Appendix K Phase 2 HGB Mid Course Review Average Minimum and Maximum Temperatures from at 9 Weather Stations in East Texas and West Louisiana.
Ch. 16: Weather (#1-2).
Variability of Moisture and Convection over the South American Altiplano during SALLJEX: An Exploratory Study Mark Falvey, René Garreaud and Patricio Aceituno.
EAS 101 SAMPLE TEST 1 ON MATH PROBLEMS SHOW ALL WORK 1. Describe and explain the basic cause of the winds. 2. Tell whether weather near the equator is.
SODAR: Uses and Acceptance Laura Tabor Wind Engineering Intern EAPC Wind Energy Services August 7, 2009.
Mapping burned scars in Amazon region using MODIS data Big Bear Lake, California, USA, André Lima Yosio Edemir Shimabukuro Luiz Eduardo Aragão SCGIS.
1/15 Excellent seeing at Dome Fuji Okita et al. A&A, 554, L5 (2013) and some unpublished results Hirofumi OKITA Astronomical Institute, Tohoku University.
Monitoring Carbon, Heat, and Water Vapor turbulent fluxes over an Agricultural Field in Santarém II. Ricardo K. Sakai (1), D. R. Fitzjarrald (1), O. L.
Hi Emily – This is set three of our detailed slides. We’ve taken a look at temperature for the San Diego county region. You can recognize the annual temperature.
Ship-based measurements of cloud microphysics and PBL properties in precipitating trade cumulus clouds during RICO Allen White and Jeff Hare, University.
Exceptional Drought: Intensification of drought The 12 August drought monitor shows D4 (exceptional) drought conditions over 58% of California (compared.
J. M. Forbes, E. K. Sutton, R. S. Nerem Department of Aerospace Engineering Sciences, University of Colorado, Boulder, Colorado, USA Sean Bruinsma, CNES.
Constructing Climate Graphs
The momentum equation: [1] [2] [3] [4] [5] [6] [7] [1] acceleration[4] vertical stress divergence [2] horizontal advection of momentum[5] buoyant forcing.
Weather and Water Monday February 25th Session Topics Hurricanes Weather Fundamentals A review of Cloud & Weather observations from 2/17 -2/15 Observations.
River proximity bias in Amazon rainfall data: a decade of observations near Santarém David Fitzjarrald, Ricardo Sakai, Osvaldo Moraes, Raimundo Cosme de.
!“Oh meu Deus! Oh meu Deus! Vou chegar tarde!” Coelho Branco.
Weather Forecasting Elisabeth (Lis) Cohen. Motivation Foxtrot Comic Strip.
Weather Forecasting Guide
MONTHLY CO AND FIRE COUNTS IN THREE NORTHERN HEMISPHERE REGIONS AND IN THREE LOW LATITUDE REGIONS  With MOPITT CO data and ATSR fire count data, CO emission.
Squall Lines moving over Santarem Julia Cohen Federal University of Para, Brazil David Fitzjarrald Atmospheric Sciences Research Center/ University at.
World Climate Patterns Earth’s Movement in Space.
Mesoclimate near the Tapajós-Amazon confluence David R. Fitzjarrald (1)*, Ricardo K. Sakai (1), Osvaldo M. M. Moraes (2), Otávio C. Acevedo (2), Raimundo.
Meteorological Data Analysis Urban, Regional Modeling and Analysis Section Division of Air Resources New York State Department of Environmental Conservation.
Paper 1: UHI from Beijing Jin, S. M. 2012: Developing an Index to Measure Urban Heat Island Effect Using Satellite Land Skin Temperature and Land Cover.
7/24/02 MODIS Science Meeting Seasonal Variability Studies Across the Amazon Basin with MODIS Vegetation Indices Alfredo Huete 1, Kamel Didan 1, Piyachat.
Vertical Structure, Melting Layer Heights, and Antecedent Upstream Air Trajectories Associated with Precipitation Events in the Central Andes of Peru Eric.
Observing how carbon, energy, and water transports fluxes change with the introduction of intensive agriculture in the Amazon – Phenology Approach. Ricardo.
CAPE AND LIGHTNING How is distribution of CAPE more diffused than distribution of lightning? Positive corelation between convective cloud layer, columnar.
Meteo 1 Activity 6 Weather Map Activity
Climate of Mesoamerica and Caribbean Prepared by Adam Carpenter, based on research by Amy Huff, Battelle.
Vertical Structure of the Atmosphere within Clouds Revealed by COSMIC Data Xiaolei Zou, Li Lin Florida State University Rick Anthes, Bill Kuo, UCAR Fourth.
Boundary layer observations in West Africa using a ground-based 14-channel microwave radiometer Bernhard Pospichal and Susanne Crewell University of Cologne.
Cloud Mask: Results, Frequency, Bit Mapping, and Validation UW Cloud Mask Working Group.
A NEW METHOD TO DIRECTLY OBSERVE THE EVAPORATION OF INTERCEPTED WATER OVER AN EASTERN AMAZON OLD-GROWTH RAIN FOREST Matthew Czikowsky (1), David Fitzjarrald.
Figure 1. Schematic of factors contributing to high ozone concentrations. Potential temperature profile (red line) with stable layer trapping ozone precursors.
Vegetation: grass (Brachiaria brizantha) or Bare Soil or Rice Tower Data Acquisition Power System (solar panel) The Large Scale Biosphere-Atmosphere Experiment.
Towards a Characterization of Arctic Mixed-Phase Clouds Matthew D. Shupe a, Pavlos Kollias b, Ed Luke b a Cooperative Institute for Research in Environmental.
Figure 1. (A) Evapotranspiration (ET) in the equatorial Santarém forest: observed (mean ± SD across years of eddy fluxes, K67 site, blue shaded.
Overview of WG5 activities and Conditional Verification Project Adriano Raspanti - WG5 Bucharest, September 2006.
Clouds, Rain Processes and Biosphere Interaction in LBA Maria A. F. Silva Dias Department of Atmospheric Sciences University of São Paulo Brazil.
Cloud Top Heights of Cumulonimbi, Thermodynamically Estimated from Objective Analysis Data during the Baiu Season Teruyuki KATO ( Meteorological Research.
 Each climate graph is made up of 2 major parts. ◦ A line graph for temperature.  Represented by a red line for the high temperatures  Represented.
ENVIRONMENTAL SCIENCE TEACHERS’ CONFERENCE ENVIRONMENTAL SCIENCE TEACHERS’ CONFERENCE, Borki Molo, Poland, 7-10 February 2007 Projection of future climate.
Unit 4 Lesson 5 Weather Maps and Weather Prediction
Weather Data Summary.
The Surface Energy Budget, Part II
Spatial and temporal distribution of integrated water vapour and liquid water path in the Murg valley observed by a scanning microwave radiometer Kneifel,
5. Temperature Structure
NASA Satellite Images for 2007
Tornadic Storm Avoidance Behavior in Breeding Songbirds
NATS 101 Lecture 3 Climate and Weather
Ming-Dah Chou Department of Atmospheric Sciences
February 2007 Note: Source:.
EQ: What is the impact of climate on Georgia’s growth and development?
by Jin Wu, Loren P. Albert, Aline P
Poster EMS Session OSA 1.12 Using a small network of ceilometers in Austria to investigate a Saharan dust episode in April 2016 PM concentration.
NATS 101 Lecture 3 Climate and Weather
Presentation transcript:

Ceilometer Observation of Seasonal and Diurnal Variation in Cloud Cover Fraction, Cloud Base Height, and Visual Range in the Eastern Amazon Region Matthew Czikowsky *(1), David Fitzjarrald (1), Ricardo Sakai (1), Osvaldo Moraes (2), Otavio Acevedo (2), Rodrigo da Silva (2) (1) Atmospheric Sciences Research Center, University at Albany, State University of New York, USA (2) Universidade Federal de Santa Maria, RS, Brazil *Corresponding Author: Cloud Cover Fraction Cloud Base Backscatter Profile At an old-growth forest site of LBA-ECO (Km67), located in the Tapajos National Forest off Kilometer 67 of BR-163 south of Santarem, a Vaisala CT-25K ceilometer was installed in April, 2001 and remained operational through June, The ceilometer provides 15-second measurements of cloud base (three levels up to 7500 m), echo intensity, and a 30-m resolution backscatter profile. The ceilometer reports vertical visibility during periods when the sky is obscured but a cloud base is not detectable. The ceilometer was operational for a sufficient amount of time to examine wet-to-dry season variations in cloud cover fraction and cloud base height. Site Location Map of the weather stations and flux-measurement sites operating in the Santarem region (STM) of LBA-ECO. Elevation (m) is shaded. Ceilometer site Photograph of the ceilometer in operation at km67. Km67 cloud base, LCL; Km77 LCL, wet season Km67 cloud base, LCL; Km77 LCL, dry season Median cloud cover fraction at km67 by hour of day for the wet season (February through May, plotted in blue) and the dry season (September through December, plotted in black) for 2001 to The quartiles are indicated by the bars. Note the presence of convective cloudiness during the day in the dry season and the absence of clouds at night in the dry season. Cloud cover fraction peaks during the morning in the wet season. Top panel: Median monthly cloud cover fraction (red dots; bars denote quartiles) for the daytime period ( GMT) from April 2001 to June Bottom panel: As in top panel but for the nighttime period (before 1000 and after 2100 GMT) plotted in blue. The wet-to-dry season transitions are clearly seen in both day and night periods. The dry season is characterized by nearly clear nighttime conditions. In 2003, the onset of the dry season appears to have occurred early, as seen by the decrease to near-zero nighttime cloud fraction and near 0.2 daytime cloud fraction in May-June Such decreases were not observed until July in both 2001 and Top panel: Cloud base at km67 (black), lifting condensation level (LCL) at km67 (blue), and LCL at km77 (pink) during a wet season period in 2001 (May 2-11, days ). Bottom panel: As in top panel but for a dry season period in 2001 (October 2-12, days ). Note that the LCL at km77 (a cleared agricultural site) corresponds to the km67 cloud base better than the LCL at km67 (an old-growth forest site). Medians by hour of daytime cloud base at km67 during the dry season (September through December; black) and wet season (February through May; blue) for Medians by hour of daytime LCL at km77 for the dry season (red) and the wet season (green) for The bars denote the quartiles. The cloud base during dry season afternoons is around 1300m, during wet season afternoons this decreases to about 750m. The km77 LCL corresponds well to the km67 cloud base during the dry season, but slightly underestimates the km67 cloud base in the wet season. Backscatter profile (units are in 10000*srad*km) -1 at km67 for May 4-8, 2001 (days ). The enhanced echoes detected within 100m of the ground are indicative of precipitation. Top panel: Integrated backscatter from 0 to 100m (units are in 10000*srad*km) -1 at km67 for May 4-8, 2001 (days ). Bottom panel: Precipitation (mm) measured at km67 during the same time period. Note that in many cases the precipitation detected in the backscatter profile is measured at the ground (see days 124, 125). However, there are other cases (such as during day 128) when little or no precipitation was measured during periods when precipitation was detected in the backscatter profile, possibly due to factors such as forest canopy interception and wind.