Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit298-08-20020603_224300_20020604_032800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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Cluster-1 | | | | - | Cluster-2 | | | | - | Cluster-3 | | | | - | Cluster-4 | | | | - | GOES-8 | | | | B plot | GOES-9 | | | | - | GOES-10 | | | | B plot | GOES-11 | | | | - | GOES-12 | | | | - | Geotail | | | | B plot | IMP-8 | | | | - | Polar | | | | - | Wind | | | | B plot |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/03 |
Start Time | | 2002/06/03 22:43 |
End Time | | 2002/06/04 03:26 |
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 | | -17.30 |
Dipole Tilt, in Y-Z GSE plane, deg | | -16.27 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 175.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit298-08-20020603_224300_20020604_032800-constBx0 |
Minimum Dst Value | | -16 |
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 GOES-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IEphbiAxMiAxMzo1MzoxMSBFU1QgMjAxOfJ6tfsAAAHMdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQyOTgtMDktMjAwMjA2MDRfMDMyOTAwXzIwMDIwNjA0XzA4MTQwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTIgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMDYtMDRUMDM6Mjk6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTA2LTA0VDA4OjEyOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MC4zMjUwMDU5OTk1LCAibWF4IjoyLjgzNTUxNDAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX0cLeMTAAAABGdBTUEAAK/INwWK6QAAIvJJREFUeJzt3X9wFPX5wHHkhwmkTS8QTRMhEFNa6UBaGXWgQQUMCOIPtI4NRRCkllbNmLYCwQCWtmLbaRhxrMGmtOOMP0LsaEZL6DittKO1MqEMNTUUKkIMlh+hCERNgiH5PpOd78719nZvL7cJn9zzfv2R2dvb/ew+n2d3n8/eXe4GdQMAACBQg873DgAAACQbBlgAAAABY4AFAAAQMAZYAAAAAWOABQAAEDAGWAAAAAFjgAUAABAwBlgAAAABY4AFAAAQMAZYAAAAAWOABQAAEDAGWAAAAAFjgAUAABAwBlgAAAABY4AFAAAQMAZYAAAAAWOABQAAEDAGWAAAAAFjgAUAABAwBlgAAAABY4AFAAAQMAZYAAAAAWOABQAAEDAGWAAAAAFjgAUAABAwBlgAAAABY4AFAAAQMAZYAAAAAWOABQAAEDAGWAAAAAFLzgHWoEHJGRcA9Km+uHi++eab48ePj9lyX2yaWoDzKDkPPreTipMNADz0xUVy2rRpL7744nnZNNf8ANGZ8UrO/or3Vmn79u0zZ85MTU3Nzs5etmzZiRMnrPkffvjh4sWLR44cmZmZ+fDDD9vLHzhw4MYbbwz1kAl5GHUrXV1dK1eulGUyMjLKysrkoXezEdz2yq1Zt/nxtiP27Nkze/bstLS0nJycLVu2xFxetLS0jBkzJmbPuzWybdu2a665JiUlRXbyrrvuOnr0qPfOu/VhvJ1Dz3sczIP+n7M150YD6fm+ELH/dlAXXHBBVlZWcXFxc3Ozx+q92P8jR47ce++948aNGzZsmKw1Z84cObyj7kzETJn48pe/HL4JmZ4wYUL4AvZTe/fuve222+QUuPDCC6+44ooXXnjBmn/q1CnZz/Hjxw8fPly2fsstt/zxj3+Muc/Onen1Ak7p6ent7e2Jb7oX+npM4JFr0dDQMHfu3M/0kIm33347fMciWPPjSl/UM9TtshOxYqKR+6Z5WJackcd7jZg1a1ZdXV1ra+uxY8eWL18+b948a/6SJUvk+nu0xx133PGb3/zGmj916tTy8vIPe6xevVoeRt3K5s2bJ0+e/F4PmaiqqvJuNoLbXrk16zY/3nb27dsntfOZZ545efJkU1PTggULvJe3yFVmw4YNMXverZEZM2bIPa7055kzZ9avXy8XiN6lJt7OoedjHsxRW3ZuNJCe7wvOAZY1ce7cuQ8++OAHP/jBtGnTPFaPd/8PHz48duxYabaxsfGTTz6R8vbKK69cf/31UXcmYqZMyFDp5Zdftp966aWXZI5zgLV//34ZHf7iF7+Q40TGLm+99dbXv/516ynZ1j333CMLdHR0HD9+fOvWrddee633PkfdmV4v0OtVBtwAyzvX//73vy+66KKKioojPTZu3CgPZab3jvUifT7LmccqfYoB1oAhl5IHHnggq4dM2HdFkkI5fEePHi13pdbDn/3sZxdffLHc3t13331ypNqLdf/vrYNzE1Lg09LSrOlRo0bJMWpNSyG3L8QjRoyQxazp06dPy8Ooeyu1Sg50a1omCgsLvZv1EL5Xbs26zY+3HanrTzzxhP9whFxf8vPz29raYp5LfnZSLg1Ru9RPahLpnKiSvudjHszOlqNuNMGe//TTT9euXZubmxsKhWTcYM30ON8rKyultslt+pQpUxoaGqz5cq9/+eWXy0x5yhoJOU/2iHBOnTo1fPhwmfjOd74TfquzZcsWmeO9/1H7/O6775ZxatQY3VYJ37eamprwTUh0L7zwgnPnv/nNb/7kJz+JugkJR4Jy24HwjXpcJLtdOt/74hnvKs7rdtS0uh0G4eTmRIaYEkt6evqtt97a0tLiJxzvjcoBIA3K8tJRvcj1woULI96gWLdu3Z133hmxYxF8pi+cx7kfftkJX955UoQnImZnys3Jj3/843HjxmVkZCxduvSjjz6y5jvPYue2/BTxq6+++vnnn7d3WO4isrOz4+0WEwywAZYkr6ioqLnHjBkz5Hi15ktubrnlFrkftR/KYod7yMQPf/hDe37EhFNtbe306dOtaanicg9hTUs5l4PGmr799ttl05Jvuelfs2aNPIzalByd9qEp7diruzXrIXyv3Jp1mx9vO3LcSz/LAS0n2OLFiyXGmO3fcMMNzz77bLePm5WYOynn6qOPPhr1rstPahLpnKiSvudjHszOlqNuNMGel+GC9M+777578uTJ0tJSa6bH+T5//vyDBw/K0bJ+/Xp7RCJd97vf/U4u2XJFXrZsWdT9Dy8SR44cWbVqlfUKgYwwrrnmmq1bt8p0dXW1TJ89e9Z7/6P2ueyD1KeoMbqtEn5dkr0aP378X//6V3m4Y8cOmZY5zguXHCpun0yYO3fuHXfc8cYbb3zyySduu9Ht4yLp0flubca7ivO6HTWtbs2GKygoeO211yRkOZLvv//+b33rW/7DibpRORekJz/oMXv27F7kWnIkx3P4HHn4+c9/3rtPfKYvnM9y5rFKRCJidmZFRcV111333nvvydkqQ8bvf//71vyoZ3HEtvwU8T/84Q8TJkyQI996Ss7ln/70pz57wygDbIB16aWXvvPOO9a03GrIbbQ1Lbk5dOiQvZg8tBf75z//Gb5YxESE3bt35+Xl2efMokWL5C7kWA+5ZRw6dKg133pl2BqVy4R9XEYYPHiwdY0WMjFkyBDvZt1E7JVbs27z421HJuScsXavuLh4yZIl3su/+uqrV111lfXBkZhl3nsnrS6Vu2r7hXS3nXfrw153TlQaej7mwRzRsttGE+z5L3zhC/aLBzaP813GRtb0xx9/bL0EJcaMGfP444+///77Hvs/6H/JLbhcIqynjh49KmkqKyuTv/anAOM9cuRQDC+NzpcKnKtEPPvUU0/dfPPN3T3vFv3qV79yLmBtpa2tLeoOnD59WmrYV77yldTUVOnABx98MOqtf8yLpEfnu8Ue7yrO63bUtLo160Z6YPTo0f7Dcdvo3r17rWlZMWoI3rmWQyUiR7KwfaUa5GDvvJ/0hfNZzjxWiUhEuKidedlll/3rX/+ypuVMkeuGNR31LI7Yls8ifuWVV1p3cfv375cdkNRE3T3DDbABlhxz9iErE/LQmpbchH8yVB66LRYxEU7uF3Nzc3fu3GnP+e9//yvFWy7Bci/yyCOP2DcfMgBfvXq1/bEVeWg3G36quN37ujUbsbrbXvXupYK42gl/cSgzM9N7+UmTJr3++useHRsu5usZcj4//PDDV199tffOu/VhgK9gKel5t4PZFtGy20bj7ZyIoz381LZ5nO9R9/Dvf//7/PnzR40aNX78ePt9PbeFrf0pLy+3P/DX3fMmjixgv0fpsf9u5FB0ljR7o8OGDYt4h0vikjFc+GKyQHZ29nPPPSd/7XfZItrxeAXLJpdEGTndddddbp/C8e5bn50fLt5VnNftiGe9mw1XX18veZQLgnVQ2ePgeMMJX97OlNtb8N65lhvFXryCZXOmL2qBcGvKednxWCUiETE7U4ah4UND+wCOehZHbMtnEa+trf3Sl77U2dm5YMECuWuKGoX5BtgAy+cdUvjNmUw4F7PeaQ5XXV2dk5Oza9cut03/8pe/lIpuTcvhlchnsNyadYq6V734sEtc7UybNi384012mXdb3u1WLCo/fSJdGv65gbhSE9RnsPT0fMyD2XlyRd1ogj0vQ6K4XsHy2EO5TP/+97+3K1nEyR6xsMRuv2ixZ88euVd+8cUXL7nkEvs11HiPHKmIZWVlETPtjU6YMOGtt94Kf+pvf/vbuHHjIhZ79NFHhw4dar8t4hxgyQG/YcMG7z2xyLj5s5/9rHN+zIukW+c7L562XryC5eehn1ewZObTTz8t911SkuWvs8fiPZb8vILlnWsZGTg/g7Vw4cKo23Xjlr6oW7TFvGZ6nxQxO1OGPgcPHnQ2G/UsjtiWz0TIWSz3citWrJCzw/6A4IAzwAZYcrtpv30rQ+w1a9ZY850nyezZs62PF8iE86MAF110UWNjo718RUWFDPbt08kmJ4NsSA7x559/fsyYMfaLonLNlU1bN/0PPfSQ2zW3srIy6v8fuTUbwW2v3Jp1mx9vO1u2bLHffSsuLl66dKn38uFiXjXcGlm0aJFk5OzZs++///79999v37TFm5p4OycqVT0f82D2aDn8qQR7/pFHHpk+ffqBAwfCP73h/3y3JqTT5Notl2MZYEmBsWZGnOzh6544cWLt2rVTpkzp7vnwn1zQ//KXv8j0yy+/fPnll1vv/njsf9SeOXTokGza/s8yCeeVV16xl5SbAdnKn//859M9duzYMXHixJ///OfeXe2scPv375cR5MaNG6Vn2tvbd+7caf8X4bXXXrt161YZoMvZJPu8fPnyuXPnRm3T+yLp1vkR/RnOZ77cOtDtoVuz4aQ3XnrpJekKOYSkK5w9Fu+xJMvbn8G6/vrre5FruSjJPZLkyP4vQnlov+Ll1ic+0+fRb26XnXAeJ0W3j8587LHHpDOlBTnX3n777W984xvW/KhnccS2/B8kMkyUmb/+9a89gjXcQNrX7p5XFEtKSqx/QJAJ+5VG50li/YNMRkbGd7/73fD/U7Am5BAMhULhx02E1tbW7p6CJ+eP3NPPmjVr9+7ddvtydZszZ87nesjRH/E6sE3G4DIAt75haNWqVfbrn27NRnDbK7dm3ebH2053z52WXAuk92TcY3/U2mP58H12C8e7kZqamoKCggsvvFBGS3JNkdum3qUm3s6h5z0O5oid995ogj0v5USGd6NHj5bYpRRZM/2f79aEjLbl3jo1NVWGR6+99po10+NkHzly5M0332yFvHjxYusDTxbZB2uA67H/bn3e1NR09913y/E5dOjQUaNG3XrrrW+++abdG7/97W+vuOIKq8Nl4umnn47Z4CBHhevu+V9OaVn2Ss6aK6+80v4erD/96U8yX7pR+iEvL+++++6zz6aINr0vkm6dH9Gf4Xzmyy1et4duzYbbtm2bpH7YsGEytnj88cedPRbvsSQLfPvb35bOkS760Y9+JC1HDcEj1+If//iHnFxpPWSUtmfPnvANRT2/fKYvaiNuLVuXnXDOkyKuzjx37pzMv+yyy1JSUuSGoba21pof9SyO2Jb/g0QO6fHjx3/66acRIbv1hoEG0r4CAAIxsArV+SXjJBnrnO+9OM86Oztj/j9WsG666abnnnuuP7cYOM4xAFCHAVZMpaWlR44cOXTo0HXXXfe9733vfO/OeVZfX2//t2BfO3fu3FNPPTVp0iT7mxoGKM4x9Anny9QGXtAHxE7GKymDQuA4KmJ67LHHRo8effHFF99zzz0D9GsCAvSZz3zmySef7J9tycE5btw4GdL1z+b6DucYAABAwBhgAQAABIwBFgAAQMAYYAEAAASMARYAAEDAGGABAAAETMsAK+r/rgMAgH52vkcE/URNnGoyCgCAsfSUYzVxqskoAADG0lOOkzlOna9JAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU46TOU6+pgEAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYespxMsfJ92ABAGAUPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjk2Jc/v27TNnzkxNTc3Ozl62bNmJEyecyyTylp+ejAIAYCw95diUOGfNmlVXV9fa2nrs2LHly5fPmzfPuUwiWdGTUQAAjKWnHJsY55kzZ9LS0pzzGWABADCg6SnHJsZZW1s7ffp053zJSmZm5ogRIyZOnLhp06bOzk7/berJKAAAxtJTjo2Lc/fu3Xl5efv27XNboL29vb6+vrCwsLS0NOKpQZ76eMcBAEAMesqxWXHu2LEjNzd3586dMZdsamoKhUL+W9aTUQAAjKWnHBsUZ3V1dU5Ozq5du/ws3NzcnJWV5b9xPRkFAMBYesqxKXFWVFTk5ubu3bvX+ZSdjOLi4oaGho6OjsbGxqKiopKSEv/t68koAADG0lOOTYnT+ZGp1tZW+ylroqampqCgICUlJT8/v7y8vK2tLa72g99pAAAQDz3lWE2cajIKAICx9JRjNXGqySgAAMbSU46TOU6+pgEAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYespxMsfJ92ABAGAUPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjpM5Tr6mAQAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKczHHyNQ0AABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUY1Pi3L59+8yZM1NTU7Ozs5ctW3bixAnnMl1dXStXrgyFQhkZGWVlZfLQf/t6MgoAgLH0lGNT4pw1a1ZdXV1ra+uxY8eWL18+b9485zKbN2+ePHnyez1koqqqyn/7ejIKAICx9JRjE+M8c+ZMWlqac/7UqVNlEGZNy0RhYaH/NvVkFAAAY+kpxybGWVtbO336dOf89PT0lpYWa/r48eOhUMh/m3oyCgCAsfSUY+Pi3L17d15e3r59+5xPDR48+OzZs9a0TAwZMiRigUGe+nzXAQCAJz3l2Kw4d+zYkZubu3PnzqjP8goWAAADmp5ybFCc1dXVOTk5u3btcluAz2ABADCg6SnHpsRZUVGRm5u7d+9e51N2MiorK/kvQgAABi495diUOJ0fmWptbbWfsia6urpWrFgR6rFq1Sq+BwsAgIFFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOkzlOvgcLAACj6CnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecpzMcfI1DQAAGEVPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTj4ONsa2tbs2ZNfn5+amqq/F23bl17e3vgW/GDr2kAAMAoespx8HGWlJTMnDmzoaFBRlryd8aMGQ888EDgW4mXnowCAGAsPeU4+DizsrKam5vthzItcwLfSrz0ZBQAAGPpKccMsAAAQD/RU4775C3CoqKid955p62tTf7KNG8RAgCAbk3luE8+5F5eXn7ppZempqbK37Vr156vD7mH05NRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6ynHwcTY0NBQWFg4fPvy8fwcV34MFAIBR9JTj4OOcMmXK+vXrP/7448BbToSejAIAYCw95Tj4OFNTUz/66KPAm02QnowCAGAsPeU4+DjHjh178ODBXqwY8728RN7y05NRAACMpaccBx/nk08+OX/+/CNHjvRude8BVm93SlFGAQAwlp5yHEycg2KJq6lePJVIswAAoH/oKcfGxek9wMrMzBwxYsTEiRM3bdrU2dkZSLMAAKB/6CnHwcd5wQUXJLJ6zK5vb2+vr68vLCwsLS11rhvIq2gAAKAv6CnHwcd5ySWX/Oc//+n16j67vqmpKRQKBd4sAADoO3rKcfBxbty48bbbbjt06FBXV1dvdshf1zc3N2dlZQXeLAAA6Dt6ynHwcQb+IXd7TnFxcUNDQ0dHR2NjY1FRUUlJSSLNAgCAfqanHBsUp9uYzJ6uqakpKChISUnJz88vLy9va2uLq/GAdxcAAMRJTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU42SOk69pAADAKHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxwnc5x8TQMAAEbRU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjZI6T78ECAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHCdznHxNAwAARtFTjtXEqSajAAAYS085VhOnmowCAGAsPeXYoDhjvpfX1dW1cuXKUCiUkZFRVlYmD+NqPIh9BAAAvaenHBsXp0fXb968efLkye/1kImqqqpAmgUAAP1DTzk2Lk6Prp86dWpdXZ01LROFhYWBNAsAAPqHnnJsXJweXZ+ent7S0mJNHz9+PBQKBdIsAADoH3rKsXFxenT94MGDz549a03LxJAhQ5zreujDnQYAAD7oKcfGxckrWAAAJCs95di4OPkMFgAAyUpPOTYuTmfX23MqKyv5L0IAAAYuPeXYoDjdPjJlT3d1da1YsSLUY9WqVXwPFgAAA4uecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxwnc5x8DxYAAEbRU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lOJnj5GsaAAAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcfJHCdf0wAAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085TuY4+ZoGAACMoqccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx6bE2dXVtXLlylAolJGRUVZWJg+dyyTymSo9GQUAwFh6yrEpcW7evHny5Mnv9ZCJqqoq5zKJZEVPRgEAMJaecmxKnFOnTq2rq7OmZaKwsNC5DAMsAAAGND3l2JQ409PTW1parOnjx4+HQiHnMpKVzMzMESNGTJw4cdOmTZ2dnf7b15NRAACMpaccmxLn4MGDz549a03LxJAhQ9yWbG9vr6+vLywsLC0tjXhqkKc+3HsAAOCDnnJsSpx+XsEK19TUFHOZcHoyCgCAsfSUY1Pi9PMZrHDNzc1ZWVn+29eTUQAAjKWnHJsSZ2Vlpdt/EdrJKC4ubmho6OjoaGxsLCoqKikp8d++nowCAGAsPeXYlDi7urpWrFgR6rFq1arw78Gyk1FTU1NQUJCSkpKfn19eXt7W1ua/fT0ZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxwnc5x8TQMAAEbRU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTJwAAMMD5HhH0Ey1x2vontWxF81b6bUNsha0kzYbYiuatJCt1fZdMByVbMXMr/bYhtsJWkmZDbEXzVpKVur5LpoOSrZi5lX7bEFthK0mzIbaieSvJSl3fJdNByVbM3Eq/bYitsJWk2RBb0byVZEXfDWAc+sYiNWYiL8YiNWYiL4mg7wYwDn1jkRozkRdjkRozkZdE0HcDGIe+sUiNmciLsUiNmchLIui7AYxD31ikxkzkxVikxkzkJRH03QDGoW8sUmMm8mIsUmMm8pII+g4AACBgDLAAAAACxgALAAAgYAywAAAAAsYACwAAIGAMsAAAAALGAAsAACBgDLBM0dXVtXLlylAolJGRUVZWJg/Dn21paRkzZozbV5K4revdJnxy68ZB/yuudUlN4jz6cM+ePbNnz05LS8vJydmyZYv/dclLIHyeMunp6f7XJTWJc+vDAwcO3HjjjaEeMiEP/a9LXjwwwDLF5s2bJ0+e/F4Pmaiqqgp/9t57792wYYNbFXdb17tN+OTWjX6+go/U9B23Pty3b5/cjTzzzDMnT55sampasGCB/3XJSyD8dOPGjRsffPBB/+uSmsS59eHUqVPLy8s/7LF69Wp56H9d8uKBAZYp5Jiuq6uzpmWisLDQfqqxsTE/P7+trS2iotsP3db1aBP+uXWjxwCL1PQDtz6UEdUTTzwRdRXy0j9idmNHR0deXt7hw4ftOaSmH7j14YgRI86cOWNNnz59Wh7aq5CXRDDAMkV6enpLS4s1ffz48VAoZD91ww03PPvss92Oim4/dFvXo03459aN0v+ZmZlyMZo4ceKmTZs6OzvtVUhNP3Drw6ysrLVr12ZnZ48cOXLx4sVyU26vQl76R8xurKqqWrp0afgcUtMP3Prw9ttvX7du3alTp+RkWbNmjTy0VyEviWCAZYrBgwefPXvWmpaJIUOGWNOvvvrqVVddZb2x7faSidu6bvMRF+9ubG9vr6+vl/u20tJS/+uSmsS59aFM3Hnnncd6FBcXL1myxP+65CUQ3t147ty5L37xi42NjXGtS2oS59aHhw8fHjt2rPXBOJn44IMP/K9LXjwwwDKF233ApEmTXn/9dWvabYDFvUWf8tONTU1NUeeTmr7j0bfy0JqWMVZmZmZc65KXxHl3Y3V19U033RTvuqQmcW59WFRUtHr1avszWPLQ/7rkxQMDLFN4fNAn5n+r8e54n/LTjc3NzVlZWf7XJTWJc+vDadOmybjKmj569GjUARZ56VPe3fjVr371jTfeiHddUpM4tz4cPny422ewYq5LXjwwwDJFZWVlzP/FcPsMltu6ftpETG7dWFxc3NDQ0NHR0djYKPd8JSUl9iqkph+49eGWLVsWLlxov0UY/lkf8tI/PLpx27ZtX/va15yrkJp+4NaHMkhas2aN9QrWQw89FD5IIi+JYIBliq6urhUrVljfRLJq1aqo3ybiNsByW9dPm4jJrRtramoKCgpSUlLy8/PLy8vb2trsVUhNP/Dow3Xr1mVmZmZkZCxatCjqh9zJS5/y6MZp06bV1tY6VyE1/cCtD/fv3z9nzpzP9Zg7d+67775rr0JeEsEACwAAIGAMsAAAAALGAAsAACBgDLAAAAACxgDLFNu3b585c2Zqamp2dvayZctOnDhhzY/3Jzbd2omQyA/leq/eHeunqQEASHqUQFPMmjWrrq6utbX12LFjy5cvnzdvnjU/3p/YdGsnQiI/lOuxusX7p6kBAEh6lEATnTlzJi0tzZpO5OvdwtuJ0IsfyvWzerf7T1MDAKAHJdBEtbW106dPt6YT+YGC8HYi9OKHcv2s3u3+09QAAOhBCTTO7t278/Ly9u3bZz3s9U9sRrQTIZEfyvVY3c9PUwMAkPQogWbZsWNHbm7uzp077Tm9ewXL2U7ETxnG+0O5Plf389PUAAAkPUqgQaqrq3Nycnbt2hU+sxefwYraToREfijXY3U/P00NAEDSo/6ZoqKiIjc3d+/evRHz4/2JTbd2fDbr8UO5flYPx+gKAKAWJdAUztd+Wltbu+P/iU23diL04odyfa4eHlGCfQIAwABFCQQAAAgYAywAAICAMcACAAAIGAMsAACAgDHAAgAACBgDLAAAgIAxwAIAAAgYAywAAICAMcACAAAIGAMsAACAgDHAAgAACBgDLAAAgIAxwAIAAAgYAywAAICAMcACAAAIGAMsAACAgDHAAgAACBgDLAAAgIAxwAIAAAgYAywAAICAMcACAAAIGAMsAACAgDHAAgAACBgDLAAAgIAxwAIAAAgYAywAAICA/R+w1RYVaQwrjAAAAABJRU5ErkJggg==)
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