Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit358-02-20021023_132600_20021023_181000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/23 |
Start Time | | 2002/10/23 13:26 |
End Time | | 2002/10/23 18:08 |
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 | | 2.02 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.65 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 161.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit358-02-20021023_132600_20021023_181000-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-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUATW9uIEphbiAxNCAwNToxMTozNiBFU1QgMjAxOf93BTcAAAHNdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzNTgtMDMtMjAwMjEwMjNfMTgxMTAwXzIwMDIxMDIzXzIyNTUwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTEgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMTAtMjNUMTg6MTE6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTEwLTIzVDIyOjUzOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6My4xMTI1NDk5OTk1LCAibWF4IjoxNi45NjA0NTAwMDA1LCAidG9wIjo1MiwgImJvdHRvbSI6MjM1LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF19h6/u6wAAAARnQU1BAACvyDcFiukAACFNSURBVHic7d15kBT12cBx5FzYZN9dWFkW2QUkVCQlpKTUguIQEBDEKBrLAMspMSSIpTm45ApJhCQVKGOpYMiaskrkMIWUBkhZiSRlYqQkFJHIpcilYTkXWBSCsPs+br9v0/Y1PbM9w2/m+X7+oHp6e/rXz+/p7ueZ2WGnUR0AAABi1ehqHwAAAECuocECAACIGQ0WAABAzGiwAAAAYkaDBQAAEDMaLAAAgJjRYAEAAMSMBgsAACBmNFgAAAAxo8ECAACIGQ0WAABAzGiwAAAAYkaDBQAAEDMaLAAAgJjRYAEAAMSMBgsAACBmNFgAAAAxo8ECAACIGQ0WAABAzGiwAAAAYkaDBQAAEDMaLAAAgJjRYAEAAMSMBgsAACBmNFgAAAAxo8ECAACIGQ0WAABAzGiwAAAAYkaDBQAAEDMaLAAAgJjlZoPVqFFuxgUAaZWOm+dbb73VtWvXhHtOx9DUAlxFuXnyBV1UXGwAECIdN8m+ffuuW7fuqgzNPT9GTGaycnO+kn2ptGHDhv79+7do0aK0tHTChAlVVVX2Zk729vv27bvrrrsK68mCPPQdpba2dsaMGbJNUVHRrFmz5GH4cC6bNm0aNGhQXl6ebDZ58uQTJ06E7zZofdB+nAFGOeyg/UQMJ3zQkCn13T7Zgw9a7ysnZz5oJ0Hrg07+oPWxzHw6uCbZPvJrrrmmpKRk1KhRhw8fDnl6Csd/5MiRqVOndurUqVmzZvKsYcOGSaZ8D8a1Uha+9rWvOYeQ5W7dujk3sH+0a9eu++67r3Xr1s2bN7/55ptffvlla/3p06flOLt27dqyZUsZ/Z577vnTn/6U8Ji9B5PyBl4FBQUXLlxo+NApSHdPEJJrsWPHjuHDh3+pniy8++67zgPzvZSSSl9S90bXBikGnDzNbVluRp7sPWLgwIHyAqu6uvrs2bMLFy6UehO+n969e8+ZM6e63uzZs+Wh72bLly/v2bPnh/VkYcWKFeHDuQwZMmTjxo01NTVHjx6dMmXKiBEjwncbtD5oP0Gzkex+IoYTPmjCKQ3KRcSDD1rvKydnPmgnQesjTnjCg09q5tPB22BZC5cvX/74449/+MMf9u3bN+TpyR7/Rx991LFjR9ntzp07P/30U2lYX3vttTvuuMP3YFwrZUFapVdffdX+0SuvvCJrvA3W3r17pTv81a9+dfDgQeld3n777W9+85vWj2Sshx56SDb473//e+zYsTVr1tx2223hx+x7MClvkPJTsq7BCs/1+++/f+211y5ZsuRIvaVLl8pDWRl+YCmkL9lLNfxHsaPByhpyK3n00UdL6smC/apIUiinb4cOHeRVqfXwF7/4Rdu2beXl3cMPPyxnqr1Z3RdfOniHkErTqlUr5/ZesoGUNGv5zJkz9vYu0iVI6bKWZaFPnz7hw4WQ4fLz88N3G2U4535s3l4ntf1ED8c7aMIpjXgTacjk+Mq9mQ/ZiXN9snftBs78Z599Nm/evPLy8sLCQukbrJUh1/uyZcuktuXl5fXq1WvHjh3Wenmtf9NNN8lK+ZHVCXkvdtfxnz59umXLlrLw3e9+9/nnn7fXV1ZWyprw4/edigcffFBeIfjGGPQU57GtXbvWOYRE9/LLL3sPfsyYMT/72c98h5BwJKigA3AOGnKTrAuY/PCbZ7JP8d63fdMadBo47dmzR1pMiaWgoODee+89fvx4lHDCB5UTQHYo28tEpZDrioqKBQsWONfMnz9/7NixrgNziZg+p2QvVd+LwpmIhJMpL05++tOfdurUqaioaNKkSefOnbPWe69i71hRini/fv1WrVplH7C8iigtLU12WkyQZQ2WJG/w4MGH68nLdzlfrfWSm3vuuUdej9oPZbOP6snCj3/8Y3u9a8FFTpTFixc7X8QXFxdL3brxxht//etfX7p0yVp///33y9CS7+rq6rlz58pD373J2WmfmvJaRM658OFCrF+/fsCAAeG7TTicaz8212ykvJ/o4XgHTTilEW8iDZkcX7k380E7ca0POvmD1jdw5qVdkKE/+OCDU6dOPfbYY9bKkOt95MiR+/fvl8AXLlxodyRyF/79738vt2y5I0+ePNne2DmQs0gcOXJk5syZ1jsE0mH0799/zZo1srx69WpZvnjxYvjx+56TcgxSn3xjDHqK874kR9W1a9e///3v8nDz5s2yLGu8Ny4pTkGfTBg+fPgDDzzwt7/97dNPPw06jLoIN8mQyQ/aZ7JP8d63fdMatFunHj16vPHGGxKy3EOmTZv27W9/O3o4voPKXUhm8uN6Q4cOTSHXkiM5n51r5GG7du3C5yRi+pwa/g6WKxEJJ3PJkiW33377hx9+KFertIw/+MEPrPW+V7FrrChF/I9//GO3bt3kzLd+JNfyz3/+84izYZQsa7Cuv/769957z1qWlxpdunSxliU3Bw4csDeTh/Zm//73v52buRacrC5bXtLZ7+Ja5H79zjvvyIVnnzHWO8PW9rJgn5cujRs3tu7RQhaaNGkSZTivbdu2de7c2b6Sg3YbPpx3P84jiX7YQfuJHo7voAmnNOJNJOXJ8ZWTMx90ML7rvSd/0PoGzvxXvvIV+80DW8j1Lr2RtfzJJ59Yb0GJsrKyp5566tChQ86deGuJk7wEl1uE9aOqqiqZgVmzZsm/9gfakj1zmjZt6iyN3rcKvE9x/fS55567++676+p/W/Sb3/zGu4E1yvnz530P4MyZM1LDvv71r+fl5ckE/uhHP/J96Z/wJhky+UGxJ/sU733bN61Buw0iM9ChQ4fo4QQNumvXLmtZnugbQniu5VRx5Ug2lqe4NnY9K2L6nGJpsJyJcPKdzBtuuGH37t3Wslwpcse2ln2vYtdYEYv4LbfcsnLlyrr634bLAUhqgmIxWZY1WHLO2aesLMhDa1ly4/xkqDwM2sy14CIn04IFC/r16+f9kbwmtl+8SgM+e/Zs+wND8tDerfNSSfja3TWc6+kWeRVbXl6+ZcsWe01qbxV492NzjZjyfkJmL+GgQVMatH2yB5/CO1g5OfNBOwnZed0XT/6g9clOjutsd17atpDr3bmZ/fCf//znyJEj27Rp07VrV/v3ekEbW8czZ84c52fX5PW0bGD/jjLk+IO0a9cupJNu1qyZ6zdcEpf0cM7NZIPS0tKXXnpJ/rV/y+baT8g7WDa5JUrnNGHCBN+3NhPeJCNOvlOyT/Het10/Dd+tk7T7kkdpl62Tyu6Dkw3Hub2dKdneN4TwXMtrnhTewbJ50+dbIEJ2lVSD5UxEwsmUNtTZGtonsO9V7BorYhFfv379V7/61UuXLo0ePVpeNQUFYrgsa7AivkJyvjiTBe9m1m+afUmt8v14yuHDh+WmZi3L6RXXZ7CChrOsXr26ffv2W7dujbLbkOF892NzzV7K+0kYTsigCac04k0krs9g5eTMB+0k4c6dJ3/Q+gbOvLRESb2D5dzM9VBu03/4wx/sSua62F0by1lnv2mxfft2ea28bt266667zn47MNkzRyrirFmzXCvtQbt16/b22287f/SPf/yjU6dOrs0WL17ctGlT+9ci3gZrzJgxixYtCj8Si7xi+fKXv+xdn/AmGTT5ITfPFN7BivIwyjtYsvKFF144efKklGT51ztjyZ5LUd7BCs+1dAbez2BVVFT4jhskKH2+I0ZcX5fookg4mdL67N+/37tb36vYNVbERMhV3L179+nTp8vVYX9AMOtkWYMlLzftX99Kiz137lxrvfciGTp0qPXxAlnwfhTg2muv3blzp739uHHj5OHFixcPHTo0bdo0+xXDqFGj5AyQ7MpPZdxHHnnEWi/3XBnaervl8ccfD7rnLlu2zPf/HwUN57JkyZLy8nL7Ik+426D1QftxTleU/QftJ2I44YMmnNKIN5FkJ8dXTs580E6C1ged/EHrGzjzTzzxxIABA/bt2+f89Eb0690+Nrl3y7FJgyUto7XSdbE7n3vixIl58+b16tWrrv5zbHJD/+tf/yrLr7766k033WT99ifk+H3PyQMHDsjQ9v8sk3Bee+01e8tnnnlGRvnLX/5ypt7mzZtvvPHGX/7ylyE7rPNrsPbu3Ssd5NKlS2VmLly4sGXLFvt/Ed52221r1qypqqqSE0OOecqUKcOHD/fdZ/hNMmjyXfPpFDFfQRMY9DBot04yG6+88opMhZxCMhXeGUv2XJLt7c9g3XHHHSnkevfu3cXFxZIj+38RykP7Ha+gOYmYvpB5S7i+LvSiqIswmU8++aRMpuxBrrV33333W9/6lrXe9yp2jRX9JJEXfrLyt7/9bcSgDJRNx1pX/46i3NCt/4AgC/Y7jd6LxPoPMkVFRd/73vec/0/BWpCiUlhYaD9cu3Ztjx49mjdvXlZWJie09OzO9S1atJAuW04Lezi5uw0bNux/6snZ73of2CY9uDTg1t92mjlzpv3+Z9BwLo08ampqQnYbtD5oP94fpbafiOEExZVwSn23T/bgg9brmfmgnYTv3HvyB61v4MxLOZHGukOHDnLNSimyVka/3q2FVatWyWvrvLw8aY/eeOMNa6XrYndG2rp167vvvts62caPH2994MkixzBp0qTw428UcK8/ePDggw8+KKW3adOmbdq0uffee9966y17Nn73u9/dfPPN1qkuCy+88ELCHTbyVDghRUv2LEclJ8Att9xi/x2sP//5z7JeplHmoXPnzg8//LDvidEo0U0yaPJd8+kUMV9B8QY9DNqt04YNGyT1zZo1k1cLTz31lHfGkj2XZIPvfOc7MjkyRT/5yU9kz74hhORa/Otf/5LbWn496dK2b9/uHMj3JhAxfb47Sbje5r0okprMy5cvy/obbrhB7gPygmH9+vXWet+r2DVW9JNETumuXbt+9tlnrpCDZsNA2XSsAIBYZFehurqkT5Je52ofxVV26dIl+xP6mfGNb3zjpZdeyuSIseMaAwB1aLASeuyxx44cOXLgwIHbb7/9+9///tU+nKvsnXfesf+3YLpdvnz5ueee6969u/2XGrIU1xjSwvsGuIE39Kw4yGTlZFCIHWdFQk8++WSHDh3atm370EMPZemfCYjRl770pWeffTYzY8nJ2alTJ2npMjNc+nCNAQAAxIwGCwAAIGY0WAAAADGjwQIAAIgZDRYAAEDMaLAAAABipqXB8v2/6wAAIMOudkeQIWriVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpxwbFGfQnyLZv3z506ND8/Pz27dtXVlamvPMGHyAAAGgQPeXYuDhdU79nz56ysrIXX3zx1KlTBw8eHD16dCy7BQAAmaenHBsXp2vqpaN6+umnY98tAADIPD3l2Lg4XVNfUlIyb9680tLS1q1bjx8/vrq6OpbdAgCAzNNTjo2L0zX1TZo0GTt27NF6o0aNmjhxYvhz+XZJAACMpaccGxena+oLCgqOHTtmLUuPVVxcHMtuAQBA5ukpx8bF6Zr6vn37Sl9lLVdVVdFgAQCQvfSUY+PidE19ZWVlRUWF/SvCSZMmBW2Z1G4BAEDm6SnHBsUZ9JGp+fPnFxcXFxUVjRs3zvkhdxosAACyi55yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynMtx8mXPAAAYRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeXYoDhD/uT68ePHy8rKGpIVPRkFAMBYesqxcXH6Tv3UqVMXLVpEgwUAQFbTU46Ni9M79Tt37uzSpcv58+dpsAAAyGp6yrFxcXqn/s4771y5cqXvjxqyWwAAkGF6yrFxcbqm/vXXX7/11ltra2u9P/J9bog0HjQAAIhATzk2Lk7X1Hfv3v3NN9/0/VFDdgsAADJPTzk2Lk7X1Mf1RpSejAIAYCw95di4OEOm3tt7xbJbAACQGXrKsUFxJnynigYLAICspqccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpacc53KcfNkzAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOODYrT9y+Cbtq0adCgQXl5eaWlpZMnTz5x4kTKO4/jGAEAQOr0lGPj4nRN/ZAhQzZu3FhTU3P06NEpU6aMGDEilt0CAIDM01OOjYszZOrPnj2bn58f+24BAEBm6CnHxsUZMvXr168fMGBA7LsFAACZoaccGxdn0NRv27atc+fOe/bsCX9uiPQcLwAAiEpPOTYuTt+p37x5c3l5+ZYtW+LdLQAAyCQ95di4OL1Tv3r16vbt22/dujXe3QIAgAzTU46Ni9M19UuWLCkvL9+1a1fCLZPaLQAAyDw95digOH0/MuX9KFVNTY39o6R2Hv8RAwCAZOgpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx7kcJ1/2DACAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95Tj+OM+fPz937twuXbrk5eXJv/Pnz79w4ULsoyRLT0YBADCWnnIcf5yPPPLIoEGDduzYIZ2W/Dtw4MBHH3009lGSpSejAAAYS085jj/OkpKSw4cP2w9lWdbEPkqy9GQUAABj6SnHNFgAACBD9JTjtPyKcPDgwe+999758+flX1nmV4QAAKBOUzlOy4fc58yZc/311+fl5cm/8+bNi/ghd9+/CFpbWztjxozCwsKioqJZs2bJw9SOSk9GAQAwlp5ybFycrqlfvnx5z549P6wnCytWrIhltwAAIPP0lGPj4nRNfe/evTdu3Ggty0KfPn1i2S0AAMg8PeU4/jh37NghbVDLli1T+x5A18YFBQXHjx+3lo8dO1ZYWJjaUenJKAAAxtJTjuOPs1evXgsXLvzkk09Se7pr6hs3bnzx4kVrWRaaNGkS/twQqR0PAACIi55yHH+ceXl5586dS/npvIMFAECu0lOO44+zY8eO+/fvT/npfAYLAIBcpaccxx/ns88+O3LkyCNHjqT2dNfUL1u2LOh/ETbko10AACDz9JTjeOIM//BTxNn0fUptbe306dML682cOdP5d7BosAAAyC56yrGaONVkFAAAY+kpx/HHec0118S+z4bTk1EAAIylpxzHH+d11133n//8J/bdNpCejAIAYCw95Tj+OJcuXXrfffcdOHAg5e8NTAc9GQUAwFh6ynH8cZr5Rz5NOAYAAJTTU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU45zOU7TPmgPAIByesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqx6XHu27fvrrvuKqwnC/Iwtf3oySgAAMbSU45Nj7N3795z5syprjd79mx5mNp+9GQUAABj6SnHpsfZqlWrs2fPWstnzpyRh6ntR09GAQAwlp5ybHqc999///z580+fPl1dXT137lx5mNp+9GQUAABj6SnHpsf50UcfdezY0fq2Zln4+OOPQzZuFCpjxwwAAHzpKcemxzl48ODZs2fbn8GSh6ntR09GAQAwlp5ybHqcLVu25DNYAADkBj3l2PQ4e/fuPXfuXOsdrMcff7xPnz72j5JKkp6MAgBgLD3l2PQ49+7dO2zYsP+pN3z48A8++MD+EQ0WAADZRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085zuU4+bJnAACMoqccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccZ0Gc27dvHzp0aH5+fvv27SsrK1PbiZ6MAgBgLD3l2PQ49+zZU1ZW9uKLL546dergwYOjR49ObT96MgoAgLH0lGPT45SO6umnn274fvRkFAAAY+kpx6bHWVJSMm/evNLS0tatW48fP766ujq1/ejJKAAAxtJTjk2Ps0mTJmPHjj1ab9SoURMnTgzZuFGojB0zAADwpaccmx5nQUHBsWPHrGXpsYqLi1Pbj56MAgBgLD3l2PQ4+/btK32VtVxVVUWDBQBA9tJTjk2Ps7KysqKiwv4V4aRJk+wfJZUkPRkFAMBYespxFsQ5f/784uLioqKicePGOT/kToMFAEB20VOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTznO5TgbfdHVPhwAALTTU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU46zI87jx4+XlZU1JCt6MgoAgLH0lOPsiHPq1KmLFi2iwQIAIKvpKcdZEOfOnTu7dOly/vx5GiwAALKannKcBXHeeeedK1eurGtYVvRkFAAAY+kpx6bH+frrr9966621tbV1EbLSKFRGjhcAAATSU45Nj7N79+5vvvmmtcw7WAAAZDU95dj0OON6I0pPRgEAMJaecpxNcbqyklSS9GQUAABj6SnH2RQnDRYAAFlNTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cQJAAAMcLU7ggzREme4zOSbUYwdiFGMHYhRjB2IUYwdKJdGyWpM0Ody6XTMpVEyNhCjGDsQoxg7EKMYO1AujZLVmKDP5dLpmEujZGwgRjF2IEYxdiBGMXagXBolqzFBn8ul0zGXRsnYQIxi7ECMYuxAjGLsQLk0SlZjgpAKLi1jkRpjkRpjkRqkA2cVUsH9yFikxlikxlikBunAWYVUcD8yFqkxFqkxFqlBOnBWIRXcj4xFaoxFaoxFapAOnFVIBfcjY5EaY5EaY5EapANnFQAAQMxosAAAAGJGgwUAABAzGiwAAICY0WABAADEjAYLAAAgZjRYAAAAMaPBwuca/T/nyurq6vHjx7du3bq4uHjBggW+T6ytrZ0xY0ZhYWFRUdGsWbPkYfh6JGXTpk2DBg3Ky8srLS2dPHnyiRMnrPVRppfUpFVQauoCriYnUpNWQakJSZmN1CBGNFi4wlUSJk6cOGrUqKp6DzzwwPPPP+99yvLly3v27PlhPVlYsWJF+HokZciQIRs3bqypqTl69OiUKVNGjBhhrY8yvaQmrYJSYwtpsEhNWgWlJmHK6kgNYkWDhStcJaFNmzZyJ7KWpcfq27evd8vevXvLPctaloU+ffqEr0fKzp49m5+fby2HTC+pyTxnamzeBovUZJ5varzrSQ3SgQYLV3gbrGPHjlnL0mkVFhZ6tywoKDh+/Li1LBvb2wStR8rWr18/YMAAazlkeklN5jlTYwtpsEhNxvimxrue1CAdaLBwhaskjBs3rqKi4mi9MWPGNG3a1PuUxo0bX7x40VqWhSZNmoSvR2q2bdvWuXPnPXv2WA+jTC+pyQxXamwhvyIkNZkRlJqg9XWkBrGiwcIVrpJw8uRJ6auKiopKSkqeeOKJdu3aeZ/CC74M2Lx5c3l5+ZYtW+w1UaaX1GSANzW2kAaL1GRAUGpCUlZHahArGixcEVISnnnmGWm2vOv5yEK6rV69un379lu3bnWujDK9pCbdfFNjC7maSE26BaUmPGV1pAaxosHCFa6SUFFRcfjw4erq6lWrVpWVle3evdu75bJly3z/c03QeiRlyZIl8mp7165drvUh00tqMiMoNbaQz2CRmrQKSk1IykgN0oEGC59r9EXWysrKSnm116pVqyFDhmzbts21vbVQW1s7ffr0wnozZ850/tkY3/VISiOPmpqautDpJTWZEZQa74+cT7EWSE1aBaUmPGXWAqlBjGiwAAAAYkaDBQAAEDMaLAAAgJjRYAEAAMSMBgtJf6Nw0Poo36Vq8f023Ihfpxo0yoYNG/r379+iRQtZP2HChKqqqgZOCwAAKaPBQtLfKBy0Psp3qTq5GqyIX6caNMrAgQPXrVtXXV199uzZhQsXShOW8oQAANBANFj4gijfKBzlb+4Ffceqk6vBSuFP+QWNIu1Xq1atEj4dAIA0ocHCF0T5RuEo3xoR9B2rTq4GK4Uvo/Ad5dy5c4sXL074/hkAAOlDg4UrIn6jcMLvPQ35LlUnV4OV7Nep+o5ifbSrbdu277//fvjTAQBIHxos/J/o3ygc/laTdz++H2mvi/wOlu/TQ76x9cyZMwsWLOjXr1+ksAEASAMaLHwuqW8UDvmwVMLvUnVK+TNYCUeRHivhJ8AAAEgfGiwk/Y3CQesTfv2ti6vBivh1qkGjjBs3bufOnRcvXjx06NC0adP4DBYA4CqiwULS3ygctD7ku1TDRwzfbcSjXbt2bY8ePZo3b15WVjZlypSTJ0/GO0sAAERHgwUAABAzGiwAAICY0WABAADEjAYLAAAgZjRYAAAAMaPBAgAAiBkNFgAAQMxosAAAAGJGgwUAABAzGiwAAICY0WABAADEjAYLAAAgZjRYAAAAMaPBAgAAiBkNFgAAQMxosAAAAGJGgwUAABAzGiwAAICY0WABAADEjAYLAAAgZjRYAAAAMaPBAgAAiBkNFgAAQMxosAAAAGJGgwUAABAzGiwAAICY/S/TVDzyZ6YJEAAAAABJRU5ErkJggg==)
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