Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit331-04-20020820_165100_20020820_213600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/20 |
Start Time | | 2002/08/20 16:51 |
End Time | | 2002/08/20 21:34 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -20.59 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.01 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 232.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit331-04-20020820_165100_20020820_213600-constBx0 |
Minimum Dst Value | | -54 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIE9jdCAzMCAyMDozMTowNiBFRFQgMjAxOdly++0AAAHKdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMzEtMDUtMjAwMjA4MjBfMjEzNzAwXzIwMDIwODIxXzAyMjIwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIFBvbGFyIHRyYWplY3RvcnkuIiwgCiAgICAieGF4aXMiOiB7ICJsYWJlbCI6IiIsICJtaW4iOiIyMDAyLTA4LTIwVDIxOjM3OjAwLjAwMFoiLCAibWF4IjoiMjAwMi0wOC0yMVQwMjoyMDowMC4wMDBaIiwgImxlZnQiOjc4LCAicmlnaHQiOjcwOSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiJVVEMiIH0sCiAgICAieWF4aXMiOiB7ICJsYWJlbCI6InJobyIsICJtaW4iOjAuMDcxODEwNTk5NSwgIm1heCI6MC4yMzI0NDE0MDA1LCAidG9wIjo1MiwgImJvdHRvbSI6MjM1LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF196lbyzQAAAARnQU1BAACvyDcFiukAACQTSURBVHic7d1/cBXV+fhxTEQCtOlepNAgBCKllY7YmtEOaVADAkJBRUtb/IFUqU2rONrW/IIQS39I2ymMdVoTm9KOM1VBO5rRGjodK+3UWhkpY2uFgoDIjwIJGpKg0Ijh88zd73dne/bu3t2bPZsN+379kTm72d2z+zy7+5x7s7l30GkAAACEalB/7wAAAMCZhgEWAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARYAAEDIGGABAACEjAEWAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARYAAEDIGGABAACEjAEWAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARYAAEDIGGABAACEjAEWAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARYAAEDIGGABAACEjAEWAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARYAAEDIkjLAGjQoKUcKACHScfN86aWXJk2alHXLOrqOVS2I1c4gdEnJrtt5zPkNAB503CSnTZv21FNP9UvXsbrnR78zsTr8M15SYh30pdJzzz13+eWXDxkypKioaMmSJYcPH/aeb27B5NFLb29vdXW1YRipVKq2tlYmlXW9t7Bx48YZM2YUFBRI70uXLj169Kj3Zt3mB93O7t2758+fb6RJQyZz206gg3ILqVsKlBgWFhbmFpwBHXm3oGUUdCeDzg8l8joowbEidtZZZ40ePXrRokX79+/3WD2H/T906NAdd9wxYcKEwYMHy1pz5syR0zjjzigzpfGpT33K3oW0J0+ebF/A+tX27duvv/76ESNGnHPOOZdccsmTTz5pzj927Jjs56RJk4YOHSq9X3vttc8//3zWfXbuTM4LOMnlefLkyb53nQOtIwzrXJIT6ZZbbrFfmKHvTJRDJYZluUlK1ILeI6ZPny4vsDo6Orq6ulatWiX1w3u+z46amppKS0v3pEmjubnZ5+6ZZs2a1dra2t3dfeTIkcrKynnz5nlv1m1+0O2UlZWtWLGiI62urk4mc9tOoIOy+EyN3dq1a++9997cgjOgI+8WtIyC7mTQ+aFEXgfnAMtsfPDBBwcPHvz2t789bdo0j9WD7v+BAwfGjx8vm922bdt7770nRffZZ5+96qqrMu6MMlMaMlR65plnrF89/fTTMsc5wNq5c6cU9Z/85CdvvfWWjF1efvnlL3zhC+avpK/bb79dFvjvf//b1ta2YcOGK664wnufM+5MzgvkvMpAHGCZDUn6F7/4xRtvvFHfzjDAir8BHzW5ldx9992j06RhvSqSE0Kq7NixY+VVqTn5ox/9aNSoUfLy7s4775QbjbXY6f9988PZhVSOYcOG+ZzvfSJKgZRSZLalUV5e7metjGR4MXz4cO/Nus0Puh05TFnMbHd2dmaMhp/tBDooi0dwMqZAkltSUiI3OO+dCWUn4xZ5i58zKuhOBp3fx8i///77K1euLC4uNgxDxg3mTI/rvbGxUcYxBQUFU6dOfe2118z5zz///MUXXywz5VfmSMh5sSuxOnbs2NChQ6Xx9a9//Ve/+pU1f926dTLHe/8zhv22226TwXHGY3Rbxb5vTzzxhL0LObonn3zSufNSy7///e9n7EIORw7KbQfsnXrcJE+7BN/75hl0Fed9O2Na3U4Dux07dsgQU46lsLDwuuuua29v93M43p3KCSAblOUlUN6JE/J649xzz83aV9a9tQfE3pHzNLYvmfXw5eXE9773vQkTJqRSqVtvvfX48ePmfOd15+zLT9m97LLLHn/8cWuHZdxfVFTk5zw8kwz4AZacCjNnztyfNn369IaGBnO+ZPraa6+V16PWpCx2IE0a3/nOd6z5SkMhp93q1aud7xC4zfcubHKuWye6vJSUM9haa+TIkVI+L7zwwp/+9KenTp3KeuAtLS0VFRXem3WbH3Q7CxculMDKtdHR0VFfXy+TuW0n0EFZgqZG6qjcL6zJvgQn607GLfIWPwOsoDsZdH4fIy/DBdnUrl273nnnnXvuucec6XG9L1iw4M0335SzYtWqVdaIRO7pv/3tb6UAyP196dKl1sL2juwl59ChQzU1NeYbPDLCuPzyyzds2CDt9evXS7unp8d7/zOGXfZBql3GY3RbxX5fkr2aNGnSX//6V5nctGmTtGWO88Ylpc76C7Ji7ty5X/rSl1588cX33nvPbTdO+7hJegTfbZtBV3HetzOm1W2zdhdddNELL7wghyyXz7Jly7761a/6P5yMncoFKJE8mDZ79uxAA6yscfDYW3tA3PpyLpn18NesWXPllVfu2bNHrq+bb775W9/6ljk/43Wn9OWn7P7+97+fPHmynKvmr+Tq++EPf+g8ijPbgB9gnX/++a+//rrZlpcaEydONNuS6b1791qLyaS12L/+9S/7YkrDzhyzy0u6N954w898t+1Y8vLyzHu0kEZ+fr79t1IGXnnlFbmerdPazdatW0tKSqy7tttmvbvzvx3zbxzmUUvDebX73E6gg7IESo1cz5/4xCe2bdtmzck5OH52Mm6Rt/gZYAXdyaDz+xj5j3/849abBxaP613GRmb73XffNd+CEuPGjXvwwQf37dtn34izMtnJC3q5RZi/Onz4sBxRbW2t/LSe9gt65px99tn2kY3zjQfnKspvH3744WuuueZ0+o99v/jFL5wLmL2cOHEi4w50dnZKRfz0pz9dUFAgAbz33nszvpGQ9SbpEXy3Yw+6ivO+nTGtbpt1IxEYO3as/8Nx63T79u1mW1b0TpxcqovScoiDsrf2gGTsK+uSGQ//ggsu+Pe//2225dyW24vZznjdKX35LLuXXnrpo48+ejr992vZAQlmxt07gw34AZbcMqzbijRk0mxLpu1Phsqk22JKQyGn5n333XfZZZf5nO927zYn/bx2l5fa9ne27Kub5FVscXHx5s2brTm5vVXgfzvyYqWurs56Ekgmc9uOB+dGLIFSs379+quvvto+J8R3sOIfeUvf38Fy27j/+UGDo5zt9kvb4nG92xezJv/+978vWLDg3HPPnTRpkvV3PbeFzf1ZsWKF/cE+eXUuC1h/o/TYfzcf+9jHPEbAgwcPVv7CJcclYzj7YrJAUVHRY489Jj+tv7Ip2/F4B8sit0QZOS1ZssT5vu9pHzdJn8G3C7qK876t/NZ7s3byYlXyKMNl86SyxsFBD8e+vJUpWd7jhZ/52u+mm26S08NnXx576/ZfFM79tC+Z9fBl4Gh/XWGdchmvO6Uvn2W3paXlk5/85KlTp2644QZ5nZPxKM5sA36A5fOVgf3FmTSciyl/4baTQp7xcZOM870Lm5+nT/bv3y/3SrctyABizJgxW7Zs8bNZj+4CbUcuRbcngQJtJ9BBWTxC6kzBZz7zmRdffNHPzoSyk3GLvMXPACvoTgad38fIy5Ao0DtY9sWUSbnp/+53v5OBjjnpfJzFPikBt960ePXVV+WV91NPPXXeeedZ75UGPXNkQFNbW6vMtDqdPHnyyy+/bP/V3/72twkTJiiLrV69+uyzz7b+yOIcYN14443333+/956YZLD+4Q9/2Dk/603SLfgeN88c3sHyM+nnHSyZ+cgjj7z99ttS4OWnM2JBz6VA72ApsvaVdW+dvE/jrBuUoc+bb77p3GzG607py2fo5LqbMmVKVVWVnM/WI32JMuAHWPJy0/pjsAzY6+vrzfnOi2T27Nnm4wXScP4J/KMf/aj970qLFy+WyZ6enn379i1btsx6wec2396Rx942NjZm/P+jRYsWyWkqp6BsXA7nrrvuyrj6mjVriouLrYs862bd5gfdjlQUCaz5Psry5cutihJ0O4EOyqKE1CMFzz333Oc+97k+BifQTsYt8m5ByyjoTgad38fI/+AHP6ioqNi9e7f9WRD/17vZkCtLKoFcWTLAkiGgOVO52O3rHj16dOXKlVOnTj2dfshPysOf//xnaT/zzDMXX3yx+Zc+j/3PGPa9e/dK19Z/EcrhPPvss9aSP//5z6WXP/3pT51pmzZtuvDCC3/84x97bPB0pgHWzp07ZQS5du1aiczJkyc3b95s/RfhFVdcsWHDhsOHD8tVI/tcWVk5d+7cjNv0vkm6BV+Jp53PfLkF0G3SbbN2Eo2nn35aQiGnkITCGbGg55Isbz2DddVVVwUaYGXtK+veOnmcxn42+MADD8guyRbk6vjnP//55S9/2Zyf8bpT+vKfVnnpJTN/+ctf+onSmWfAH+eJEydkOGL+O4M0rPctnReJ+Q8yqVTqG9/4hvOfOKRIGIZhTT7xxBMXXXTROeecM27cOLkfySsA7/mnHU9yZNxbGdHLcN78WKOamhrr3VRzs0OGDJGXAnLuuj1LMcihu7vbY7Nu84NuR+7dc+bM+Uia3GJ27dqV23YCHZRbSD1SMG3atJaWFp8xD2Un4xZ5t6BlFHQng87vY+RlNCBjyrFjx8o1K+MGc6b/691sPP744/JKvaCgQIZHL7zwgjlTudjtez5ixIhrrrnGjPMtt9xiPvBkkn0w/3nCY//dAv7WW2/ddtttMsw6++yzzz333Ouuu+6ll16yovHrX//6kksuMbMsjUceeSTrBgdlKsBSAmXLsldydVx66aXW52D98Y9/lPkSRolDSUnJnXfeab9q7Nv0vkm6BV+Jp53PfLkdr9uk22bt5OWWpH7w4MEy+n/wwQedEQt6LskCX/va1yQ4EqLvfve7suWs++8/Dln31sl5Ggc6/A8++EDmX3DBBVJ3ZIhv3TkzXndKX/7TKifhpEmT3n//fT9ROvMk5TgBAB6SU/b67h//+IcMVft7LwI7deqUDPGj7PHqq69+7LHHouwxVriiAAAMsLK75557Dh06tHfv3iuvvPKb3/xmf+9OYK+88or134K6ffDBBw8//PCUKVOsT2pIIK4oRMT5h6QY3tAHxE4GdUYeFELHWZHVAw88MHbs2FGjRt1+++0D8UMHPvShDz300EPR9CWn04QJE2RIF0138cQVBQAAEDIGWAAAACFjgAUAABAyBlgAAAAhY4AFAAAQMgZYAAAAIUvKACvjf6oDAICw9Hepj5ekhIPEAwCgD3VWkZRwkHgAAPShzirO5HDw1iUAANGgziqSEg4SDwCAPtRZRVLCQeIBANCHOqtISjhIPAAA+lBnFUkJB4kHAEAf6qwiKeEg8QAA6EOdVSQlHCQeAAB9qLOKpISDxAMAoA91VhF1OHp7e6urqw3DSKVStbW1MulcZuPGjTNmzCgoKCgqKlq6dOnRo0e95/tB4gEA0Ic6q4g6HE1NTaWlpXvSpNHc3OxcZtasWa2trd3d3UeOHKmsrJw3b573fD9IPAAA+lBnFVGHo6ysTAZJZlsa5eXl3st3dXUNHz7c/3w3JB4AAH2os4qow1FYWNje3m6229raDMPwXr6lpaWiosL/fDckHgAAfaiziqjDkZeX19PTY7alkZ+f77Hw1q1bS0pKduzY4XP+IE8hHgUAALCjziri+w7Wpk2biouLN2/e7HO+NxIPAIA+1FlFTJ/BWr9+/ZgxY7Zs2eJzflYkHgAAfaiziqjD0djY6PZfhFZu1qxZU1xcvH37dmVdt/l+kHgAAPShzir64XOwqqqqjLSamhr752BZuXE+PtXd3e0x3w8SDwCAPtRZRVLCQeIBANCHOqtISjhIPAAA+lBnFUkJB4kHAEAf6qwiKeEg8QAA6EOdVSQlHCQeAAB9qLOKpISDxAMAoA91VnEmh4OvygEAIBrUWUVSwkHiAQDQhzqrSEo4SDwAAPpQZxVJCQeJBwBAH+qsIinhIPEAAOhDnVUkJRwkHgAAfaiziqSEg8QDAKAPdVYRdTh6e3urq6sNw0ilUrW1tTLpXGbjxo0zZswoKCgoKipaunTp0aNH/a/rhsQDAKAPdVYRdTiamppKS0v3pEmjubnZucysWbNaW1u7u7uPHDlSWVk5b948/+u6IfEAAOhDnVVEHY6ysjIZPJltaZSXl3sv39XVNXz48NzWtSPxAADoQ51VRB2OwsLC9vZ2s93W1mYYhvfyLS0tFRUVua1rR+IBANCHOquIOhx5eXk9PT1mWxr5+fkeC2/durWkpGTHjh0+1x3kKexDAQAA/w91VhHfd7A2bdpUXFy8efPmHNZ1IvEAAOhDnVXE9Bms9evXjxkzZsuWLTmsmxGJBwBAH+qsIupwNDY2uv0noJWbNWvWFBcXb9++3f+6WZF4AAD0oc4q+uFzsKqqqoy0mpoa+2dZWblxPj7V3d3tvW5WJB4AAH2os4qkhIPEAwCgD3VWkZRwkHgAAPShziqSEg4SDwCAPtRZRVLCQeIBANCHOqtISjhIPAAA+lBnFUkJB4kHAEAf6qwiKeEg8QAA6EOdVZzJ4eC7CAEAiAZ1VpGUcJB4AAD0oc4qkhIOEg8AgD7UWUVSwkHiAQDQhzqrSEo4SDwAAPpQZxVJCQeJBwBAH+qsIinhIPEAAOhDnVVEHY7e3t7q6mrDMFKpVG1trUxm3q1Mn62we/fu+fPnG2nSkEn//ZJ4AAD0oc4qog5HU1NTaWnpnjRpNDc3eyysZKusrGzFihUdaXV1dTLpv18SDwCAPtRZRdThkFFRa2ur2ZZGeXm5x8JKtoYNG9bV1WW2Ozs7ZdJ/vyQeAAB9qLOKqMNRWFjY3t5uttva2gzD8FhYydbChQsbGhqOHTvW0dFRX18vk/77JfEAAOhDnVVEHY68vLyenh6zLY38/HyPhZVsHThwYPz48eazWdI4ePCgc3kP4R4IAACwUGcVA+kdrJkzZ9bV1VnPYMmk/35JPAAA+lBnFQPpGayhQ4fyDBYAADFEnVVEHY7Gxka3/yJ05sb5X4T19fXmO1jLly/3Hpx5bwoAAISIOqvoh8/BqqqqMj/Lqqamxv45WPbcZHx8aufOnXPmzPlI2ty5c3ft2uW/XxIPAIA+1FlFUsJB4gEA0Ic6q0hKOEg8AAD6UGcVSQkHiQcAQB/qrCIp4SDxAADoQ51VJCUcJB4AAH2os4qkhIPEAwCgD3VWkZRwkHgAAPShzirO5HDwXYQAAESDOqtISjhIPAAA+lBnFUkJB4kHAEAf6qwiKeEg8QAA6EOdVSQlHCQeAAB9qLOKpISDxAMAoA91VpGUcJB4AAD0oc4qog5Hb29vdXW1YRipVKq2tlYmM++Wy2crvPrqq7Nnzx4+fPiYMWPWrVvnv18SDwCAPtRZRdThaGpqKi0t3ZMmjebmZo+FlWzt2LFj3Lhxv/nNb95555233nrrhhtu8N8viQcAQB/qrCLqcJSVlbW2tpptaZSXl3ssrGRLRlQ/+9nPcuuXxAMAoA91VhF1OAoLC9vb2812W1ubYRgeCyvZGj169MqVK4uKikaMGHHLLbd0dHT475fEAwCgD3VWkXs4Tpw4UV9fP3HixIKCAvnZ0NBw8uTJrGvl5eX19PSYbWnk5+d77dz/ZksWvvnmm4+kLVq06Ctf+YpzeQ8Bjw8AAPhFnVXkHo677rprxowZr732moy05Of06dPvvvvurGv15R0sWVdWMdsyxho5cqT/vSXxAADoQ51V5B6O0aNH79+/35qUtszJulZfnsGaNm2ajKvM9uHDhxlgAQAQE9RZRdQDrMbGRrf/InTmRpmzbt26m266yfoT4a233up/b0k8AAD6UGcVffoT4cyZM19//fUTJ07IT2n7+RNhb29vVVWVkVZTU2P/HCx7btwen2poaBg5cmQqlVq8eDEPuQMAEBPUWUWfHnJfsWLF+eefX1BQID9Xrlzp5yH3/kLiAQDQhzqrSEo4SDwAAPpQZxVJCQeJBwBAH+qsIvdwvPbaa+Xl5UOHDh0QnzUV530DAGCgo84qcg/H1KlTV61a9e6774a4N/qQeAAA9KHOKnIPR0FBwfHjx0PcFa1IPAAA+lBnFbmHY/z48W+++WZ4exI+vioHAIBoUGcVuYfjoYceWrBgwaFDh0LcG31IPAAA+lBnFcHC4f1tynEObpz3DQCAgY46q0hKOEg8AAD6UGcVuYfjrLPOCnE/dCPxAADoQ51V5B6O88477z//+U+Iu6IViQcAQB/qrCL3cKxdu/b666/fu3ev/QubY4vEAwCgD3VWkXs4eMgdAACYqLOKqMPR29tbXV1tGEYqlaqtrXV798tjxNbe3j5u3LigiSTxAADoQ51VRB2Opqam0tLSPWnSaG5u9lg4Y7buuOOO+++/nwEWAADxQZ1VRB2OsrKy1tZWsy2N8vJyj4Wd2dq2bdvEiRNPnDjBAAsAgPigziqiDkdhYWF7e7vZbmtrMwzDY2Fntj7/+c8/+uijGX/ljcQDAKAPdVYRdTjy8vJ6enrMtjTy8/M9Flay9Yc//OGzn/2s+dhWxkQO0E+ZBwBgoKPOKgbSO1hTpkz5y1/+kvFXWZF4AAD0oc4qBtIzWH15U4rEAwCgD3VWEXU4Ghsb3f6L0Jkbj2zxDhYAAPFBnVX0w+dgVVVVGWk1NTX2z8Gy5ybrO1UMsAAAiA/qrCIp4SDxAADoQ51VJCUcJB4AAH2os4qkhIPEAwCgD3VWkZRwkHgAAPShziqSEg4SDwCAPtRZRVLCQeIBANCHOqs4k8PBV+UAABAN6qwiKeEg8QAA6EOdVSQlHCQeAAB9qLOKpISDxAMAoA91VpGUcJB4AAD0oc4qkhIOEg8AgD7UWUVSwkHiAQDQhzqrSEo4SDwAAPpQZxVRh6O3t7e6utowjFQqVVtbK5OZdyvTh1dt3LhxxowZBQUFRUVFS5cuPXr0qP9+STwAAPpQZxVRh6Opqam0tHRPmjSam5s9FlayNWvWrNbW1u7u7iNHjlRWVs6bN89/vyQeAAB9qLOKqMNRVlYmgySzLY3y8nKPhT2y1dXVNXz4cP/9kngAAPShziqiDkdhYWF7e7vZbmtrMwzDY2GPbLW0tFRUVPjvl8QDAKAPdVYRdTjy8vJ6enrMtjTy8/M9FnbL1tatW0tKSnbs2OFc3kMo+w8AAJyos4qB9w7Wpk2biouLN2/eHKhfEg8AgD7UWcUAewZr/fr1Y8aM2bJlS9B+STwAAPpQZxVRh6OxsdHtvwiduVHmrFmzpri4ePv27Tn0S+IBANCHOqvoh8/BqqqqMtJqamrsn4Nlz03Gx6ecj1V1d3f77JfEAwCgD3VWkZRwkHgAAPShziqSEg4SDwCAPtRZRVLCQeIBANCHOqtISjhIPAAA+lBnFUkJB4kHAEAf6qwiKeEg8QAA6EOdVZzJ4eCrcgAAiAZ1VpGUcJB4AAD0oc4qkhIOEg8AgD7UWUVSwkHiAQDQhzqrSEo4SDwAAPpQZxVJCQeJBwBAH+qsIinhIPEAAOhDnVVEHY7e3t7q6mrDMFKpVG1trUxm3q1Mn63gc123DfZpvwEAgDvqrCLqcDQ1NZWWlu5Jk0Zzc7PHwkq2Aq3rvSkAABAi6qwi6nCUlZW1traabWmUl5d7LKxkK9C63psCAAAhos4qog5HYWFhe3u72W5razMMw2NhJVuB1vXeFAAACBF1VhF1OPLy8np6esy2NPLz8z0WVrKVdd1BnsI7CAAA8D+oswrewQIAAH1FnVXwDBYAAOgr6qwi6nA0Nja6/SegMzfKHI91syLxAADoQ51V9MPnYFVVVRlpNTU19s+ysucm4+NTHutmReIBANCHOqtISjhIPAAA+lBnFUkJB4kHAEAf6qwiKeEg8QAA6EOdVSQlHCQeAAB9qLOKpISDxAMAoA91VpGUcJB4AAD0oc4qkhIOEg8AgD7UWcWZHA6+ixAAgGhQZxVJCQeJBwBAH+qsIinhIPEAAOhDnVUkJRwkHgAAfaiziqSEg8QDAKAPdVaRlHCQeAAA9KHOKpISDhIPAIA+1FlF1OHo7e2trq42DCOVStXW1sqk/2V27949f/58I00aMum/XxIPAIA+1FlF1OFoamoqLS3dkyaN5uZm/8uUlZWtWLGiI62urk4m/fdL4gEA0Ic6q4g6HDIqam1tNdvSKC8v97/MsGHDurq6zHZnZ6dM+u+XxAMAoA91VhF1OAoLC9vb2812W1ubYRj+l1m4cGFDQ8OxY8c6Ojrq6+tl0n+/JB4AAH2os4qow5GXl9fT02O2pZGfn+9/mQMHDowfP9783htpHDx4UFlxkCdtxwQAQNJRZxUD6R2smTNn1tXVWc9gyaT/fkk8AAD6UGcVA+kZrKFDh/IMFgAAMUSdVUQdjsbGRrf/IrRy47aMDLzq6+vNd7CWL1+ecXDmhsQDAKAPdVbRD5+DVVVVZX6WVU1Njf1zsKzcuC2zc+fOOXPmfCRt7ty5u3bt8t8viQcAQB/qrCIp4SDxAADoQ51VJCUcJB4AAH2os4qkhIPEAwCgD3VWkZRwkHgAAPShziqSEg4SDwCAPtRZRVLC4f0h7wAAoI/6u9THC+HwEs3pEkEvHEjcejkzuoimFw4kbr1wILHqIppeGDzlgJB54dqIWy8cSKy6iKYXDiRuvXAgseoiml4YYOWAkHnh2ohbLxxIrLqIphcOJG69cCCx6iKaXhhg5YCQeeHaiFsvHEisuoimFw4kbr1wILHqIppeGGDlgJD1P07cuCEjsUI64oaMxA0ZiSey0v+4NuKGjMQK6YgbMhI3ZCSeyEr/49qIGzISK6QjbshI3JCReCIr/Y9rI27ISKyQjrghI3FDRuKJrPQ/ro24ISOxQjrihozEDRmJJ7ICAAAQMgZYAAAAIWOABQAAEDIGWAAAACFjgAUAABAyBlgAAAAhY4AFAAAQMgZYIdu4ceOMGTMKCgqKioqWLl169OhR7/l2vb291dXVhmGkUqna2lqZ9J4PP9wi/9xzz11++eVDhgyR+UuWLDl8+LBzXTISur6ElHTo4BG9Qf9f0HXJSF+4RY8iMuAwwArZrFmzWltbu7u7jxw5UllZOW/ePO/5dk1NTaWlpXvSpNHc3Ow9H364RX769OlPPfVUR0dHV1fXqlWr5M7lXJeMhK4vISUdOmSNnscAi4zo4BY9isiAwwBLI6ncw4cPzzrfun+VlZXJ9WO2pVFeXu49H0G5ZUTuWcOGDbMmyYg+OYSUdGiVNXrOARYZ0cpP9CgiAwIDLI1aWloqKiqyzreujcLCwvb2drPd1tZmGIb3fASVMSPHjx9fvXq1/eUgGdEnh5CSDq2yRs9jgEVGdPATPYrIgMAAS5etW7eWlJTs2LHD53yRl5fX09NjtqWRn5/vPR+BZIy8+YjJqFGj3njjDecqZCR0fQkp6dAha/Q8/kRIRnTIGj2KyEDBAEuLTZs2FRcXb9682ed8Ey8+9PGIfGdn53333XfZZZc5f0VGQteXkJIOHXJ4ByvrumSkL7yjRxEZQBhghW/9+vVjxozZsmWLz/kW/nyuSdbIyxgr47NZZCR0fQkp6dAhh2ewsq5LRvrCI3oUkYGFAVbI1qxZIy8vtm/f7nP+adv9q7GxMeM/erjNhx9ukV+8ePG2bdt6enr27du3bNmyjM9gkZHQ5RBS0qFV1uh5PINFRnRwix5FZMBhgBWyQQ7d3d0e80/bro3e3t6qqiojraamxv4RJhnnww+3yD/xxBMXXXTROeecM27cuMrKyrffftu+itkgI6HLIaSkQyvvyNvZ53uvS0b6wi16FJEBhwEWAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARaA6Lh9YW3QL6n188W3Hqvv3r17/vz55jO/0pDJQHt72scXIQNIOO4OAKLj9oW1Qb+k1s8X33qsXlZWtmLFio60uro6mQy0txYGWADccHcA0D/sX1jblw9IdPsOb4/Vhw0bJmuZ7c7OTvtXffvZWwsDLABuuDsA6B/2L6zty1d8uH2rusfqCxcubGhoOHbsWEdHR319vUwG2lsLAywAbrg7AOgHyhfW5vwltR5ffOux+oEDB8aPH28+RCWNgwcPBtpbCwMsAG64OwCImvMLa3N7B8u5HeXZc7fVZ86cWVdXZz2DJZMZV3frxd5dLscPIAG4OwCIVMYvrM3hGaysX3zrsfrQoUN9PoPl3QsDLABuuDsAiI7bF9YG/ZJajy++9bNZGXjV19eb72AtX74847PzfnphgAXADXcHANFx+8LaoF9S6/HFt3Zuq+/cuXPOnDkfSZs7d+6uXbsC7a3zV+FGCcAZgPsCAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARYAAEDIGGABAACEjAEWAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARYAAEDIGGABAACEjAEWAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARYAAEDIGGABAACEjAEWAABAyBhgAQAAhIwBFgAAQMgYYAEAAISMARYAAEDIGGABAACEjAEWAABAyBhgAQAAhOz/ADZQayXfhKJsAAAAAElFTkSuQmCC)
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