Products for GEONETCAST System. Daniel Vila, Cesar Mello, Frederico de Angelis

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1 Products for GEONETCAST System Daniel Vila, Cesar Mello, Frederico de Angelis

2 INPE GeonetCast Product List (*) File name convention: INPE_XXX_AAAAMMDDhhmm.jpg(png)

3 INPE GeonetCast Product List

4 Estimated Dataflow Broadcasting tests!!

5 GOES/MSG Composites INPE_GMC_ GOES/MSG Composites - This is a product created by composing the GOES-12 IR images with MSG IR images, every 15 minutes. Every 3 hour the composite will be derived from the full disk of GOES and full disk of MSG, in the 13-North to 50-South Latitude; 85-West to 55-East Longitude region, encompassing South America and Africa.

6 GOES South America Visible Channel (SAV). Frequency 15 minutes. The visible channel is in the region of the electromagnetic spectrum where the sun emits most of its energy. That incoming energy is attenuated by molecules, clouds, and aerosols. About 50% of the incoming energy is either reflected or absorbed by the atmosphere and reemitted to space. The remaining energy reaches the earth s surface where it is either absorbed or reflected. INPE_SAV_

7 GOES South America Infrared Channel - SAI, images generated every 15 minutes. The longwave infrared window channel covers a portion of the atmospheric infrared window. At this wavelength, energy radiated by the earth s surface and clouds is not significantly attenuated by atmospheric gases. In this channel, most surfaces and cloud types have an emissivity close to 1, with a notable exception being thin cirrus. Therefore, the brightness temperature sensed by the satellite is close to actual surface skin or cloud top temperature for scenes other than thin cirrus. INPE_SAI_

8 GOES South America Water Vapour Channel SAW, images generated every 15 minutes. The infrared water vapor channel is located at 6.7 microns where the earth's emitted spectrum is highly attenuated by water molecules. Thus, this channel senses radiation from the mid- and upper-levels of the atmosphere, from both water vapor and clouds. Because water vapor is transported by atmospheric circulations, it allows the detection of features in the mesoscale flow as well as hemispheric patterns. INPE_SAW_

9 GOES South America Enhanced - SAE. Frequency 15 minutes. This product is based on channel 4 (thermal infrared, 10.8 µm) of GOES 12. While this image contents the same information of the previous one, the distinctive palette allows to indentify those features (clouds) with temperature below -30 degrees. Blue and light purple represents the lowest temperatures while orange and yellow the closest to the mentioned threshold INPE_SAE_

10 Fortracc Images FTC. Short time prediction (120 minutes) of convective systems displacement, area and lifestage. This nowcasting is based in the ForTraCC technique developed by INPE using as input GOES-12 (channel 4) images every 15 minutes, from the infrared channel. Colors correspond to lifestage: RED intensifying, YELLOW is unchanged and GREEN is desintensifying. Fortracc Images allows tracking of convectives systems, and forecast their evolution... INPE_FTC_

11 Técnica de Limiar TB <= 235 K - pixel classificado como sistema convectivo Imagem GOES Limiar 235 K Identificação

12 Rastreamento Tamanho >= 75 pixels (Área = 1200km² = 30 x 40 km) Continuidade do SC Sobreposição >= 25% da Área do SC t Figura 1 Figura 2 t x t+δt x x x t+δt t+δt x Figura 3 t x x t+δt t x

13 TENDÊNCIA DE CRESCIMENTO E DESENVOLVIMENTO DO SC Ae = 1 A A t A(t0) A(t1) A(t2) 400 (1/A) (DA/DT) 10^6 300 (1/A)(DA/DT) 10^ TIME

14 PREVISÃO

15 GOES wind chart Para o cálculo do vento o modelo estima os vetores através da distância euclidiana, percorrendo o campo de cálculo segundo uma espiral. A área básica de calculo é uma região de 32x32 pixels que calcula a menor distância euclidiana em uma janela de 96x96 pixels. O cálculo em espiral permite otimizar significativamente os cálculos. Obtido o melhor deslocamento, calcula-se a correlação entre os dois segmentos visando analisar o grau de precisão do cálculo.

16 GOES wind chart visible GWV. Images generated every hour. INPE_GWV_

17 GOES wind chart Water Vapour GWW. Images generated every hour. GOES wind chart infrared GWI. Images generated every hour. INPE_GWW_ INPE_GWI_

18 Rainfall Satellite RFS This product is the instantaneous and the accumulated convective rainfall estimates, based on GOES images, for the South America region. The estimation is based in the adjusted hydroestimator methodology, using INPE informations about precipitated water, relative humidity and winds. Frequency 15 minutes. INPE_RFS_

19 Modelo Hydroestimador: R = 1,1183x10 11 exp(-3,6382x10-2 xt 1.2 )

20 Taxas de chuvas variam de acordo com o tipo de chuva, local de ocorrência, estação, características topográficas da superfície, etc. Uma única equação para estimar a chuva originada a partir de diferentes processos físicos normalmente tende a superestimar (subestimar) a precipitação em ambientes úmidos (secos). Fator de correção de umidade (Scofield, 1987): produto do conteúdo de água precipitável da camada entre a superfície e o nível de 500 mb (PW) vezes a umidade relativa (valor médio entre a superfície e o nível de 500 mb). PWRH é empiricamente escalonado em valores entre 0 e 2. R = 1,1183x10 11 exp(-3,6382x10-2 xt 1.2 ) x PWRH

21 Screening method: This technique assumes that raining pixels are colder than the mean of the surrounding pixels. Standardized temperature is defined as: Tơ < -1.5 Convective precipitation: defined essentially by the empirical powerlaw function corrected by PWRH. 1.5 < Tơ < 0 Tơ = 0 Stratiform precipitation: whose maximum value cannot exceed 12mmh-1 and must be less than the fifth part of the convective rainfall for a given pixel Entirely Convective Tơ > 0 pp = 0 Entirely Stratiform Standarized Temperature 0.0

22 Vegetation Index NDVI The NDVI images are computed from data of two channels (red and infrared) on AVHRR instrument of NOAA-18. Live green plants absorb solar radiation in the photosynthetically active radiation (PAR) spectral region, which they use as a source of energy in the process of photosynthesis. Leaf cells have also evolved to scatter (i.e., reflect and transmit) solar radiation in the near-infrared spectral region, Hence, live green plants appear relatively dark in the PAR and relatively bright in the near-infrared. By contrast, clouds and snow tend to be rather bright in the red (as well as other visible wavelengths) and quite dark in the nearinfrared. INPE_NDV_ _ Three NDVI images are created and made available in 15 days interval mosaic and monthly product. Frequency: 3 files for month.

23 Fire Detection FDN Indicates fire occurrence spots in individual states, and in the South America countries. These fire maps are derived from the mosaicing NOAA, 3.7um thermal band ascending passes. Frequency daily. INPE_FDN_

24 Land Surface Temperature LST Este produto usa imagens NOAA- 18/AVHRR. Ele é gerado utilizando-se um método do tipo split-window, o qual se baseia na absorção diferencial em canais infravermelhos adjacentes para realizar a correção atmosférica e possui a vantagem de ser simples e computacionalmente eficiente. Valores de TSC são gerados 4 vezes por dia com o NOAA-18/AVHRR. A TSC é estimada somente para pixels de céu-claro, os quais são identificados com base em algoritmos de mascaramento de nuvens. 4 images per day. INPE_LST_

25 Number of Days without rain NDR This product indicates the number of days without convective rainfall, making use of GOES images and an hydroestimator. Frequency daily. INPE_NDR_

26 Lightning Discharges Images LDI Combination of GOES-12(IR) cloud images and lightning occurrence information collected by RINDAT ground Network (Integrated National Network for Detection of Atmospheric Lightning Discharges). Color correspond to the number of lighting each 30 minutes. INPE_LDI_

27 Ultraviolet Index UVI This product indicates the maximum daily value of the ultraviolet radiation. It takes into consideration the ozone concentration based on AURA-OMI and SBUV sensor measurements provided by NASA, and the images of nebulosity derived from GOES data. Frequency 30 minutes. INPE_UVI_

28 Weather Forcast 5 days WGT Temperature at 1000mbar Weather Forcast 5 days GWR 24h accumulated rain INPE_WGT_ INPE_WGR_

29 Weather Forcast LG5 Lines of currents and wind magnitute at 500 mbar Weather Forcast LG2 Lines of currents and wind magnitute at 200 mbar INPE_LG5_ INPE_LG2_

30 Weather Forcast next 24h RT1 Temperature at 1000mbar Weather Forcast next 24h RR1 24h accumulated rain plus pressure

31 CCD Image Imagens CBERS sensor CCD: Cobre uma área de 113x113km Resolução espacial: 20 metros Bandas 3, 4, 2(RGB) Formato geotiff HRC INPE_CBERS_2B_CCD_AF_ tif

32 HRC Image Imagens CBERS sensor HRC Cobre uma área de 27x27km Resolução espacial: 2,7 metros Banda pancromática Formato geotiff INPE_CBERS_2B_HRC_AF_ _072_E_129_3_L3.tif

33 Obtenção das imagens CHC: fusão entre as imagens dos instrumentos CCD e HRC. CCD HRC CHC + = INPE_CBERS_2B_CHC_AF_ _072_E_129_3.tif Objetivo: colorir a imagem pancromática do sensor HRC com as cores de uma composição colorida de imagens do sensor CCD (bandas 3,4,2).

34 OBRIGADO Links relacionados satelite.cptec.inpe.br