Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit302-12-20020614_055200_20020614_103600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/06/14 |
Start Time | | 2002/06/14 05:52 |
End Time | | 2002/06/14 10:34 |
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 | | -16.95 |
Dipole Tilt, in Y-Z GSE plane, deg | | 5.72 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 135.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit302-12-20020614_055200_20020614_103600-constBx0 |
Minimum Dst Value | | -6 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIEphbiAxOSAxNzoxNDo0MSBFU1QgMjAxOC0cb2UAAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMDItMTItMjAwMjA2MTRfMDU1MjAwXzIwMDIwNjE0XzEwMzYwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMSB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wNi0xNFQwNTo1MjowMC4wMDBaIiwgIm1heCI6IjIwMDItMDYtMTRUMTA6MzQ6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjI2NjAxMTk5OTUsICJtYXgiOjIuNDI3MDI4MDAwNSwgInRvcCI6NTIsICJib3R0b20iOjI0OCwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfc/q9gUAAAAEZ0FNQQAAr8g3BYrpAAA0BUlEQVR4nO3df3RU9Zn4cRIiBILZCURIkB/hV41roAjIgRJtSgOiIkWX1aiIUahQCjVWCFEioqXKesATPSC4gKUtrZHSNkcDcrq02T1xS90o2KUSMWik0Y0SayxpGyQYvs83d8/d6czcm5nkZu6ded6vP3Lu3Nwfn8/nmbnPM3fu3Ol1AQAAAI7q5XYDAAAA4g0FFgAAgMMosAAAABxGgQUAAOAwCiwAAACHUWABAAA4jAILAADAYRRYAAAADqPAAgAAcBgFFgAAgMMosAAAABxGgQUAAOAwCiwAAACHUWABAAA4jAILAADAYRRYAAAADqPAAgAAcBgFFgAAgMMosAAAABxGgQUAAOAwCiwAAACHUWABAAA4jAILAADAYRRYAAAADqPAAgAAcBgFFgAAgMMosAAAABxGgQUAAOAwCiwAAACHUWABAAA4LD4LrF694rNfANCjeuLg+dvf/nbcuHGdbrkndu1WLiAH4YK2AosnPQDY6ImDZG5u7i9+8QtXdk2B5aC47FSPis/xivSt0v79+6+55pq+fftmZmbeddddH330kTG/vb29uLjY5/OlpaWVlJTIQ2P+K6+8MnPmzOTkZFl+8eLFn3zyic2ODP4zw1zdajGrVkXaWqvlxZtvvjl79uyUlJShQ4fu2rXLvjuGpqam4cOHdzryVjvt9feC9xgw36nB0TPyVhuxaozVi8KqkY6MfE8I6K85CAkJCUOGDCkoKGhoaLBZvQvtb2xsXL58eVZW1kUXXSRrzZkzRwYzZGMCZsrEP/7jP/rvQqYvv/xy/wXMf9XW1t58880DBw7s06fPlClTfvaznxnzP/vsM2nnuHHj+vXrJ3v/xje+cejQoU7bHNyYLi8QLDU19ezZs93fdRf0dE1gFYWu7dep1tocLpzdUZiNidq+vCY+ex7pMeJrX/uavMFqbm4+c+bMo48+KknRmL99+/ZJkya910EmduzYYcyfNWvWgQMHWlpaPv7446VLl95www0R7S7M1a0Ws2pVpK21Wv7EiROSsPfs2fPpp5+eOnXqtttus++OQTLK448/3unIW+000pOOTg1Oj27cUyNvtRGrxli9KKwa6cjI94TgAsuY+OKLLz788MMHHnggNzfXZvVI2//BBx+MHDlSNnv8+PG//e1vUlW//PLL1157bcjGBMyUCUnSL730kvmvX/7ylzInuMB65513pDrctGmThEBql9/97nf/9E//ZPxL9vXNb35TFvj8889Pnz794osvfvWrX7Vvc8jGdHmBLq8ScwWWTRTcLbA63RoFVnTEWM/lSXzfffcN6SAT5rsiCeFTTz01bNgweVdqPPyXf/mXwYMHyxuLb3/723KgMRe78PcnRYJ3Iemwf//+xvT06dMlQRrTMjFjxozg5SX9yFt5+2bbPMPCWT1gMatWRdpaq+UlZW7ZsiWi7kguGTNmTGtra6evJaudRlpg+XNqcHp0466PvNVGwmm8/4vCqpHdHPm2traHH354xIgRPp9PMpYx0+b1vm3bNqljkpOTp02bduzYMWP+oUOHrrzySpkp/zIqoeAXe0D3P/vss379+snEsmXLnn/+eXP+rl27ZI59+0OO+T333PPggw+G7KPVKv5t27t3r/8upHc/+9nPght/++23b9iwIeQupDvSKasG+O/U5iB5wWLw7Q+eka4SfNwOGVarp4E/qfuluJG+pKam3nTTTU1NTeF0x36n8gSQDcryMlAh+2sTBavnm/kwnOeqvAf43ve+l5WVlZaWdvfdd//lL38JOW5WbA6qwS8K/w12OphWDQt+FQfvK5wkfvXVV7/wwgtmg6V+zczMDOdZ7TUxVmBJ8PLz8xs6yDvsdevWGfMlNt/4xjfk/aj5UBb7oINMrF+/3pwfMBFAnihPPPGEeaZBnl7mc0veC8qTJniVioqKvLw8+2bbJL9wVg9YzKpVkbbWanl53ss4yxNaXmCLFi1qbm7utDvXX3/9T37yE/ue2u9UVkxPT5csnpOT8/TTT58/f95+fk8MTkhxM/JWG+m08QEvCqtGdnPkJVHJ+Jw8efLTTz8tKioyZtq83ufPn19fXy9te/TRR82KRFq1b98+OWTLEXnx4sUh++ufJBobG9esWWOc4JEK45prrnnxxRdlury8XKbPnTtn3/6QYy5tkPwUso9Wq/gfl6RV48aN+8///E95WFVVJdMyJ/jAJVF49913Q+7iuuuuu+WWW1599dW//e1vVs24EMZB0mbwrbYZ6SrBx+2QYbXarL8JEyb85je/kS5LGl6xYsWSJUvC707InZaWlspIfthh9uzZIbtgE4VOC6xwnqubN2/++te//t5778mLYuHChd/97ndDjpsVm0gFt8p/g50OplXDQr6KA/YVThI/ePDg5ZdfLs98418yPhs3brTvrDfFWIE1evTot956y5iWtxry3t2Ylti8//775mLy0FzsD3/4g/9iARP+jCpb3tLV1dUZcxITE42DrJCJ3r17B6xy5MiRUaNG2RxPbXYX/uoBi1m1KtLWWi0vE/Ka+bhDQUFBYWGhfXd+9atfTZ061bhwpNM0b99IOdzU1NTIMc58cdrPD79TnQ5OSPE08lYbsW988IvCqpHdHPmxY8eaJw9MNq93qY2M6b/+9a/GKSgxfPjwZ5555o9//KNNf3v9PXkLLocI418fffSRhKmkpET+mtecRfrMSUpK8q9sgk8VBK8S8N/nnntu3rx5Fzo+7PvXf/3X4AWMvbS2toZswJ///GfJYV/+8peTk5NlAFetWhXyrX+nB0mbwbfqe6SrBB+3Q4bVarNWZASGDRsWfnesdlpbW2tMy4ohu2AThU4LrHCeq9nZ2W+//bYxLU/IkSNHmov5j5uViAosqw2GHEyrhoV8FQfsK8wkftVVVxlvHd955x1pgITGqi9eFmMFlhwyzCe0TMhDY1pi439lqDy0WixgIoA8mR555JGrr77aeGj/5lveX44YMeK1117z36//wdR/fvC+wlw9eLGunSqIaDvy0JiWJJqenm7fnfHjx1dXV9v01F845zPkLV2Y850anJDibOStNtLpyAS/KEI2MtLBCXi2+7+0TTav95A9euONN+bPnz9o0KBx48aZn+tZLWy0Z+3ateblZULeT8sC5meU4YxPgIyMjOC3TOZOL7roooBPuKRfUsP5LyYLZGZm/vSnP5W/5qdsAduxOXdikkOiVE533XVXyKs8Oz1Ihjn4/iJdJfi4HfBf+836kzdgEkcpl40nlVkHR9od/+XNSFl9BN+dM1jhPFel2vN/M+D/PAkYt/DzjlWr/DfY6WBaNSzkqzhgX2Em8YqKissuu+z8+fO33XabVKJWHfG4GCuwwnyH5P/mTCaCF7P56FrSSafXylzo+BBh6NChr7/+ejjNDn6ih7l6yMW6cLFLRNvJzc2VxGlMy7uTTtN8ryA2PQrnipyGhgY5cnU636nBCSn+Rt5qI+GMjP+LwqqR3Rx5STMRncGy6ZEcpisrK6XQMR4GvNgDFj5z5ox50uLNN9+U98q/+MUvLr30UvOMXaTPHCloSkpKAmaaO7388st/97vf+f/r8OHDWVlZAYs98cQTSUlJ5sciwdn69ttvf/zxx+1bYmhubr744ouD53d6kLQafJuDZxfOYIXzMJwzWDLzhz/84Z/+9CdJyfI3eMQifS6FcwbLJgr+hZp59qWxsTGi56pUGPX19TYbt2ezmP2LotPBtGpYyFdxwL7CDISMjLyBXL16tbw6zAsEY06MFVjydtP8+FZK7NLSUmN+8Itk9uzZxuUFMhF8KcAll1xy/Phxc/k777xTHp47d+6Pf/zjihUrzDd827ZtC/kFos2bN48YMcJ8+XUqoHlhrm61mFWrIm2t1fK7du264447zM+A7r77bvvuhPkv+53KjuTFJi8kCYSEeOXKlfbznRqckOJy5K2WtGqM1YvCqpHdHPnvf//7eXl57777rv/VG+G/3o0JaY8cu+XZIklL6lpjZsCL3X/dTz755OGHH542bdqFjkvN5ID+H//xHzL90ksvXXnllcYnfTbtDznm77//vuza/BahdOfll182l9y6davs5d///d//3KGqqionJ+fJJ5+02eCFUAXWO++8I1n5qaeekpE5e/bsa6+9Zn5/7atf/eqLL74ota/ETtq8dOnS6667LuQ27Q+SVoMfMJ7+woyX1QBaPbTarD8ZjV/+8pcyFPIUkqEIHrFIn0uyvHkN1rXXXhuyCzZRMJeXivzRRx+VZ5fEYt68eRE9V8vKyqTNMkcW++///u9bb73VfjwD2Cxm86K4EMZgWjUs5Ks4YF/hP0nk3anM3LlzZ5id8qBYauuFjjOKkmKNLyDIhHmmMfhFYnxBJi0t7Vvf+pb/9xSMCcl8Pp/PfLh3794JEyb06dNn+PDhcjySmt2YL0W0VNC+DmvWrLG6aZNoaWkJ2eCQJxjCXN1qMatWRdpaq+UvdHxQkp6eLqMnWdb/UuuQ3Qloc8hxMFnt1AhB37595Q2NvALNyFrNd2pwQorLkbfaiH1Egl8UVo3s5shLNfDQQw8NGzZMNisZy5gZ/uvdmHjhhRfkvXVycrKUR7/5zW+MmQEvdv8RGDhwoOS8kydPyvxFixYZFzwZpA1G7WjTfqsxP3Xq1D333CNZMykpadCgQTfddNNvf/tbczR+8IMfTJky5R86yMQPf/jDTjfYKyjDXej4AqlsWVolMbrqqqvMOzD9+te/lvkyjDIOo0aN+va3v+0fO/9t2h8krQY/YDz9hRkvq/5aPbTarL/9+/dL6C+66CJ5S/PMM88Ej1ikzyVZ4N5775XBkSF67LHHZMshu2AVBXM78v5QKnjj24LPPvtsRM/VL774QvqSnZ0tB0CpyysqKuzH078X9oeL4BdFRINp1bCQr+KAfYX/JJHBHDduXFtbW0DX7PvuKbHUVgCAI2IrUbnr97//vZSqbrfCZefPn5c3DNHc44033vjTn/40mnt0HK8xAFCHAqtTRUVFjY2N77///te//vX777/f7ea4rKamxvy2YE/74osvnnvuufHjx5t3aohRvMbQI4I/HfPgAT0mGhmpuOwUHMezolNlZWXDhg0bPHjwN7/5zRi9TYCDBgwY8Oyzz0ZnX/LkzMrKkpIuOrvrObzGAAAAHEaBBQAA4DAKLAAAAIdRYAEAADiMAgsAAMBhFFgAAAAO01JghfzuOgAAiDK3K4IoUdNPNREFAMCz9KRjNf1UE1EAADxLTzqO537qPCcJAIBn6UnHavqpJqIAAHiWnnSspp9qIgoAgGfpScdq+qkmogAAeJaedKymn2oiCgCAZ+lJx2r6qSaiAADHNTY2/vjHP77zzjuff/55mXa7OTFMTzpW0081EQUAdFNra+vRo0d3795dVFSUn5+fnp4e8LV0n883bdq0ZcuWlZWVHTx4kJIrfHrSsZp+qokoAKALHn744cmTJ8+bNy8nJycpKSm4orrkkktkIjk5ObjeMksuWX358uUNDQ1u98a79KRjNf1UE1EAQKSee+65gIJJyqwFCxZs3LixsrLSKJiam5v37NljTDc1NVVVVW3ZsmXFihV5eXnBJZfM3LlzZ0tLi9s98xw96Tie+8mNRgEA9tra2tavX2+cskpISPjWt75VU1PT2toa6Xak5HriiSeMdHPRRRcZE8nJyQUFBVKiyV56ovGxSE86VtNPNREFAISpsbExPz9fEoQUWKWlpd3/aG/fvn3l5eXNzc27d+82tmxIT08vKiqS0s2RZsc0PelYTT/VRBQAEI5Dhw5lZGRIdpC/Mt0Tu5CKbePGjTk5OWalNXTo0DFjxuzZs6cndhcT9KRjNf1UE1EAgD3/jwXz8/Oj8B3Ao0ePFhUVGfWc8ou09KRjNf1UE1EAgA3/jwWlzIrm1VGyr1mzZhm7VnuRlp50rKafaiIKALAShY8FO9XSweYirS5cYh9D9KRjNf1UE1EAQLDofywYjuCLtEaOHNmvX78vfelL8frpoZ50rKafaiIKAAhw6NChtLQ0Vz4WDFPwRVp79+51u1E9Qk86VtNPNREFAPiT2mXAgAFG1fKDH/zA7ebYkcrv+eefT0lJMT7EPHz4sNstcp6edBzP/eRGowCg3L59+4zqqnfv3pMnT/bguatgzc3NxuVZycnJ8XdDBz3pWE0/1UQUAGBYv3698Qa7sLAwti5pkkJw2bJlRuNLS0vdbo6T9KRjNf1UE1EAgJRT8+fPNy66Kisrc7s5XbR9+3bjqnzpS2wViDb0pGM1/VQTUQBQrr6+3vhens/nc+teDE6R9ksvpC8TJ07s/i/5eIGedKymn2oiCgCaVVVVpaenyzE/Ozu7rq7O7eY4oLa2VvoSN5e960nHavqpJqIAoJb5mdrcuXPj5jO1C/F12buedKymn2oiCgAKtbW1LVmyxLwqPCa+LRgR/8vei4uLjXu+xyI96VhNP9VEFABUkcrjgQceMO4jOmDAgFg/wWPPPEUn1q1b53ZzukJPOlbTTzURBYC4J0XV4cOHN27cOGfOHPMmon379o3d8zrh+/nPf270d/DgwU1NTW43J2J60nE895MbjQJA3AhZVBkuvvjixMTExx57zO02RsmWLVuMrxZmZ2d75EcVw6cnHavpp5qIAkA8aW5uLiwsnDp1akBRNXHixKKiooqKClnAWMztlkaV1FXGrSgyMjJqa2vdbk4E9KRjNf1UE1EAiCfjx4+3KqqUa2lpyc3NlWFJT0+vrq52uznh0pOO1fRTTUQBIG5s2bLFrK7+7d/+ze3meE5ra+uCBQuMq/srKyvdbk5Y9KRjNf1UE1EAiA+1tbXGx4L333//wYMH3W6OR5m3b0hKSoqJb1DqScde6ecrr7wyc+bM5OTkzMzMxYsXf/LJJ8HLtLe3FxcX+3y+tLS0kpISeRj+9vVEFADigNQN06ZNM36n2e22xIDS0lLjPJ/3f3hRTzr2Sj9nzZp14MCBlpaWjz/+eOnSpTfccEPwMtu3b580adJ7HWRix44d4W9fT0QBIA5s2LBBjtvDhg3jcqswSWll3CKrqKjI7bbY0ZOOvdjPM2fOpKSkBM+fPn26FGHGtEzMmDEj/G3qiSgAxLqjR48atUJVVZXbbYkl+/btM8Zt4cKFnr2XvZ507MV+VlRU5OXlBc9PTU01b6p2+vRpn88X/jb1RBQAYlpra6txA4IVK1a43ZbYIyWpceHal7/85bfeesvt5oSgJx17rp9HjhwZNWrUiRMngv+VmJh47tw5Y1omevfuHbBAL1s93nQAQLetWrXKuIWmVFputyUm1dTU9O/fX8awT58+HhxDPenYW/2U0nvEiBGvvfZayP9yBgsA4ptkgaQOhw8fdrstMcy4d4N4+umn3W5LID3p2EP9LC8vHzp06Ouvv261ANdgAUAca2lpycrKksP1+vXr3W5LbGtubr7nnntkJJOTk48ePep2c/6OnnTslX5u3rx5xIgRIe/3bwZj27ZtfIsQAOLVkiVLjNu1e/YC7dhi3B9r7NixUrm63Zb/oycde6WfwZdMmU8IMxjt7e2rV6/2dVizZg33wQKAuFFZWWmccYmtX9bzstbWVqlWZVQLCgrcbsv/0ZOO1fRTTUQBIOY0NTVlZGTIgXrTpk1utyWu1NXVGV8q3L59u9tt+V960rGafqqJKADEHOOi7JA36EE3lZeXe+piLD3pWE0/1UQUAGJIa2vr2rVrjZ8rrq+vd7s58clTF2PpScdq+qkmogAQQ/Ly8ozrbnfv3u12W+KWpy7G0pOO47mf3GgUALysvr6+b9++cnwO+fNocJB3LsbSk47V9FNNRAEgJtTW1hoXtstffnMwCjxyMZaedKymn2oiCgDeV11dbZxQycvL88KFQUp44WIsPelYTT/VRBQAPG7fvn1GdbVgwQLuKRpNXrgYS086VtNPNREFAC/buXNnUlKSHJOLioqorqLP9Yux9KRjNf1UE1EA8KyNGzca3zrasGGD223Ry92LsfSkYzX9VBNRAPCmoqIiORQnJSW5/kU23HvvvRKL1NTUkydPRnnXetKxmn6qiSgAeE1bW5txr/bk5OR9+/a53RxcOHDggHEqMTs7O8of1OpJx2r6qSaiAOApLS0t+fn5xr3aq6ur3W4O/r+mpqa0tLSEhASJS0lJSTR3rScdx3M/udEoALirsrLysssuM252dezYMbebg//T2tr68ssvG1842LlzZ9T2qycdq+mnmogCgEfs37/feH+bmZlZV1fndnMQgpRWxoVxUbvXq550rKafaiIKAF5QW1s7aNAgo8B68skn3W4OLJWUlEiMfD6fhCwKu9OTjtX0U01EAcB11dXVkrDlwHvFFVfs3r2b+115mURn/vz5xgXvTU1NPb07PelYTT/VRBQA3FVZWWneqL21tdXt5qBzLS0txh3e8/Lyeroa1pOO1fRTTUQBwEXl5eXGddNLlizhxFUMaWxsNH57u7CwsEd3pCcdq+mnmogCgFvKysqMi65WrVrldlsQsZqaGuPU48aNG3tuL3rSsZp+qokoALjCuFZaSJnldlvQRRUVFUYQZaKHdqEnHavpp5qIAkCUtbW1LVu2zPi2/549e9xuDrrF+L3IAQMG1NTU9MT29aTjeO4nNxoFgJ5m/gyOpOSeO+2BaCosLDTuDdvY2Oj4xvWkYzX9VBNRAIiakydP5ubm8jM4cUaK5ry8PAnrxRdfvGvXLmc3ricdq+mnmogCQHQ89thjxucDGRkZ0blHJaKmqampT58+EtzExMSdO3c6+IVQPelYTT/VRBQAoqClpSUtLU0OrQkJCW+88YbbzYHzli5dal5jM2XKFKfOUOpJx2r6qSaiABAFBQUFclxNSUnZvHmz221BT5Eyury8fNiwYUaZtXDhwoaGhm5uU086VtNPNREFgJ5WWlpqXHfFJ4MatLa2SsSTk5ONoG/YsKE7N+jXk47V9FNNRAGgR+3Zs8e4I8PBgwfdbguip76+3vi6qBg7dmyXvzGqJx2r6aeaiAJAz6murjZ+CWf79u1utwUuOHToUE5OjlFm5efnv/nmm5Fe/64nHavpp5qIAkAPqaurM36ubsWKFW63Ba6RimrLli0+n88os/r37x/RuUw96VhNP9VEFAB6QktLS3Z2thxL58yZw684o6mpybgFmnmrjoULF+7evbvTe5PqScfx3E/u5A4AjpCKKj8/Xw6kOTk5Umm53Rx4gtRY11577dixYy+99FL/bCtPklWrVh08eLC1tbW5ubmystKsyOvr6/WkYzX9VBNRAHCc8VODGRkZkiDdbgu8qLa2tqysbM6cOQMGDDArreTk5H79+snExIkT169fv2jRIlXnO9T0U01EAcBZkjiNZHn48GG32wKva21traqqKikpmTJlSi8LbrcxStT0U01EAcBBlZWVxtcGy8vL3W4LYkxTU9P3vve9vLy8oqKi9evXP/TQQ9dcc42edKymn2oiCgCOqK+v37p1q/GJj2RHt5uDOKEnHXuon52ePOzOOUY9EQWA7mtubk5JSTEOtgsXLnS7OYgfetKx5/ppX2D1xGYBAAGqqqoSEhLkyJmZmdmd30UBAuhJx57rJwUWALirsrLS+GQwKyvrxIkTbjcHcUVPOvZcP+0LrPT09P79++fk5Dz99NPnz593ZLMAANPGjRuNq9oXLlzIuSs4Tk869lw/Ox36s2fP1tTUzJgxo6ioKHhdGz3WZACIB21tbYWFhcYBc8OGDW43B/FJTzr2XD/DHPpTp075fD7HNwsAOjU2Nhq/fDJgwICKigq3m4O4pScde66fYQ59Q0PDkCFDHN8sACh07NixrKwsOU4OGzbs6NGjbjcH8UxPOvZcP4OH3pxTUFAgR4HPP//8+PHj+fn5K1eu7M5mAQAX/C5pnzZtWqe/1At0k5507KF+Wl0yZU7v3bt3woQJffv2HTNmzNq1ayO6+lJPRAEgfFzSjijTk46d76e8REtLS6UGSk5Olr/r1q07e/as43uJlJ6IAkA4uKQdrtCTjp3v58qVK2fOnHns2DGptOTv1772tfvuu8/xvURKT0QBoFNHjhwZPHgwl7Qj+vSkY+f7OWTIkIaGBvNhpFej9xA9EQUAey0tLUZ1JX70ox+53RzooicdU2ABgCKtra3G7RgSEhIyMzObm5vdbhF00ZOOe+Qjwvz8/LfeektexvJXpt36iJAbjQKAv7a2tgULFsjxMCMj48iRI1zVjujTk4575CL3tWvXjh49Ojk5Wf4+/PDDXOQOAF6wZMkSORj6fL7a2lq32wKl9KRjNf1UE1EACGnVqlXGVe3V1dVutwV66UnHavqpJqIAEKysrEwOg0lJSZWVlW63BarpScfO9/PYsWMzZszo16+fp65/8kIbAMAVe/bsMQ7F5eXlbrcF2ulJx873c9q0aY8++uhf//pXx7fcHXoiCgD+KioqjHu1l5WVud0WQFE6dr6fycnJf/nLXxzfbDfpiSgAmKqrq43fGSwpKXG7LcD/pycdO9/PkSNH1tfXO77ZbtITUQAw1NbWGtXVsmXL3G4L8L/0pGPn+/nss8/Onz/faz/JrieiACDq6uoyMjLk0LdgwYK2tja3mwP8Lz3p2Jl+9uqMI3vpZqtcaQMARN/Pf/7ztLQ0Oe7l5uZSXcFT9KRjNf1UE1EAyrW0tBhXtaekpMi0280B/o6edOx8PxMSEhzfZvfpiSgAzcyfGhS33nqr280BAulJx87389JLL/2f//kfxzfbTXoiCkAt86cGhwwZ8tJLL7ndHCAEPenY+X4+9dRTN9988/vvv9/e3u74xrtMT0QBqMVPDcL79KRj5/vpnYvcA1rldhMAoAfxU4OICXrSsZp+qokoAIX4qUHECj3pWE0/1UQUgDb81CBiiJ50rKafaiIKQBV+ahCxRU86jud+eu06MABwFj81iJijJx2r6aeaiAJQgp8aRCzSk47V9FNNRAFowE8NIkbpScdq+qkmogDiW0NDw9ixY/v06cNPDSIW6UnHavqpJqIA4tuTTz5pXFc6cuRIfmoQMUdPOlbTTzURBRDHGhsbx44da/yQ8+9//3u3mwNETE86VtNPNREFEK+kusrOzpajmfyVabebA3SFnnSspp9qIgogLlFdIT7oScdq+qkmogDiD9UV4oaedBzP/eRGowDiANUV4omedKymn2oiCiCeUF0hzuhJx2r6qSaiAOIG1RXij550rKafaiIKID5QXSEu6UnHavqpJqIA4gDVFeKVnnTsoX52ejV6e3t7cXGxz+dLS0srKSmRhxFt3Ik2AkCPo7pCHNOTjj3XT5uh3759+6RJk97rIBM7duxwZLMA4B3V1dWDBg2iukK80pOOPddPm6GfPn36gQMHjGmZmDFjhiObBQDvMKqrpKSkhoYGt9sCOE9POvZcP22GPjU1tampyZg+ffq0z+dzZLMA4BEVFRXGlRKXXXaZ220BeoSedOy5ftoMfWJi4rlz54xpmejdu3fwujZ6sNEA0G2tra1ZWVlysFq5cqVMu90coEfoScee6ydnsADoVFJSIkeqKVOmtLW1ud0WoKfoScee6yfXYAFQqLa2NqnD4cOH3W4L0IP0pGPP9TN46M0527Zt41uEAOJSXl6eHKaWLVvmdkOAnqUnHXuon1aXTJnT7e3tq1ev9nVYs2YN98ECEB/27Nkjx6j09PTm5ma32wL0LD3pWE0/1UQUQGyRoiojI0OOUVJmud0WoMfpScdq+qkmogBiy7Jly+QAlZub63ZDgGjQk47V9FNNRAHEkJqaGuPa9traWrfbAkSDnnSspp9qIgogVrS1tU2ZMkWOTiUlJW63BYgSPek4nvvJjUYBeNn27dvl0JSVldXS0uJ2W4Ao0ZOO1fRTTUQBxITGxkafzyeHpoqKCrfbAkSPnnSspp9qIgogJixcuFCOS3PnznW7IUBU6UnHavqpJqIAvK+qqkoOSsnJyfX19W63BYgqPelYTT/VRBSAx7W1tWVnZ8tBacOGDW63BYg2PelYTT/VRBSAlzU0NCxfvlyOSFJj8aPOUEhPOlbTTzURBeBZjY2NvXv3Nr7XfOjQIbebA7hATzpW0081EQXgWdXV1UZ1NWHCBLfbArhDTzpW0081EQXgTY2NjcalV5dccsnJkyfdbg7gDj3pOJ77yY1GAXiEWV3JX5l2uzmAa/SkYzX9VBNRAF5DdQWY9KRjNf1UE1EAnkJ1BfjTk47V9FNNRAF4B9UVEEBPOlbTTzURBeARVFdAMD3pWE0/1UQUgBdQXQEh6UnHavqpJqIAXEd1BVjRk47V9FNNRAG4i+oKsKEnHavpp5qIAnDRoUOHxo0bR3UFWNGTjuO5n9xoFEDUtLW1Gb/iLC677DKqKyAkPelYTT/VRBRANNXX12/fvn3BggU+n8+orhISEv7rv/7L7XYBHqUnHavpp5qIAuia1tbWtrY2mwUaGxsrKytlmZaWloqKimXLlo0dO9b/NHlWVtaVV14p9VbU2gzEHD3pWE0/1UQUQAApibZu3Tp16tTCwsL1FpYsWZKcnJyamlpcXGy1zIABA+RIkpmZmZSUZBZVPp9vwYIFUlTV19e73VEgBuhJx2r6qSaiAAzBH945RQqs3NxcKbkOHz5sf9ILQAA96VhNP9VEFNDM6sO7lJQU+ZuTk2N1duq73/1udnb2pEmTSktLbc5y5efn/+hHP5K9uN1RIFbpScdq+qkmooA2ra2t11133ejRo6+66iqbD++OHj3qdksBKErHavqpJqKAd/zhD3/4zne+s3///p7bRWVl5eTJk/nwDogVetKxmn6qiSjguqamprKysilTpph1zxVXXLFhw4a6ujoHd7Fp06asrCxj+wkJCSkpKc888wwf3gEepycdx3M/A65Ldbs5QJxrbW0tLy+fO3eu+TldcnJywMtw4sSJ3ay0ampqCgsLzS1LjSWVltRbnK8CYoKedKymn2oiCkSTVDbyt6qqasmSJcZdDIzP6ebPn79v377m5uadO3f++te/rqioWLhwoblARJWWVE6y/Y8++mj37t3+Z8WkkqusrOz5LgJwkp50rKafaiIKREdjY+PUqVPllZWammoWPdOmTduyZYtRdQVrbW0NrrSGDBmSlZW1bNkyq+/uGXtJTEw0lk9PT1+1ahU3nQJilJ50rKafaiIKhOPHP/5xdnb2kiVLqqqqjh492mm9IrWRLLZ79+6ioqL8/Hypcvw/+JMKqbS0NPwP/sxKq3///r3CNmnSJGmArNvdzgNwj550rKafaiIK2GtubpZiKCEhIbiC8fl8Uirl5eXNnz//5ptvHjhwoBRS8+bNy8nJ8b/9gbmwlGijRo165plnutyYlpaWsWPHysYLCgqszmBJSXfNNdfw+zNAfNCTjr3Sz/b29uLiYjlkp6WllZSUyMPgZQKO7xFtX09EASttbW1lZWXmySepsaS4kXJK6qdhw4Z1egJJFluwYMHGjRsrKysbGhocbBhf/QP00JOOvdJPeXs6adKk9zrIxI4dO4KX6U5U9EQUCKm8vNy8ubkUVYcPHw4ua5qamurq6qqqqvbt27d58+bRo0fLKlKT1dTU8MEcAEfoScde6ef06dMPHDhgTMvEjBkzgpehwIKXNTY2vvjii3fffXdJSYnVp13r1q1bvHixlCyycNQaJgWT+eW77OzsioqKqO0aAALoScde6Wdqaqr5zaPTp0/7fL7gZXp1fIGof//+OTk5Tz/99Pnz58Pfvp6IIjrsL/oOhzzJp02btmzZMqm3Dh48aJZcMiEP7e/qVFdXZ39KSV5NtbW1x44dmzt3rrG7jIyMnTt3crMoAO7Sk4690s/ExMRz584Z0zLRu3dvqyXPnj1bU1MzY8YMSWwB/7LPZz3YenielCMhv+Mm1YxUIVVVVZs2bZozZ86SJUusTj6VlJSMHj162LBhNhd9G9+JGzp0qNVGrr/+enPhkCXX1KlTjVtofuUrX7HayOzZs42F161bF3KBVatWGc2T15GxpMzkMz4AXqAnHXuln+GcwfJ36tSpTpfxpyeiseXtt98uKCi48cYbrWoFkZeXl5mZef/990sZVFtba3WPpWBtbW319fVSjh84cODiiy+W58ANN9xQWFiYn58/ceLEcC7rthd80bfUcFKo2dzyQJq0Z8+egwcPXug4ySQ92rJly4oVK6SPXTgH1il53yIbj+bHkQBgr5eadOyVfoZzDZY/yWdDhgwJf/t6IuplUnlILSIliFQ5U6ZM8b/bZKSysrJkC3PmzJFN3XXXXVKgjxkzZtGiRXPnzs3NzZX/hrlxKWuys7OlvjEuADdO9oRUXFyckZEhyz/++OM9dNG3UXLdd999M2fOlN1ZtaSoqGjSpEnz5s2zWmB9x6ky6dQbb7zheCMBoDv0pGOv9HPbtm1W3yI0g1FQUHDs2LHPP//8+PHj+fn5K1euDH/7eiLqHY2NjVL99O3bd/z48Vbl1MCBAxMSEhITE5cvX25VK8i6spGpU6caZVDID9ds6rCJEyfKitOmTZswYcIDDzywe/fugwcPSoUUcJ6pra3t0KFDzc3NLo0WAKigJx17pZ/t7e2rV6/2dVizZo3/fbDMYOzdu1dypOTaMWPGrF27NqJTCHoi6pZwLvrOyMiYM2eOLLB9+/bDhw8b1YwUOpF+hmV89idbqKyslD3ee++9gwcPzsnJkemKioqqqir5L6USAHiQnnSspp9qIho1UsRs2rRp0aJFt956q9VF35dffvmgQYPuuOMOs5wCAGimJx2r6aeaiPaQcC6f6rk7fQMA4oOedKymn2oi6ojGxsatW7dOnjx5xowZVuWU+SHgHXfcwZ2+AQDh0JOO1fRTTUS7oMuXT1VVVZWXl3PvSgBAmPSk43juZ0CJ4HZzoqqmpib4QzrzvlCHDh165JFHbrrppptvvtnq8injtgVDhw599dVXuXwKAOAIPelYTT+9HVGz9KmoqLjqqquuuOKKVatWWd22wLgK6t5777VaQMqmXh03mfznf/7nMO8LFfLyKWkSZ6cAAA7yeDp2kJp+9up1zz332NyYUeqVG2+8cevWrTa3C5cCyP424nV1dcZNugOYv8dSXFw8ZswY4/aYkd4S0xHGfaGuvvrqPn36yMNZs2Zx+RQAIGoosOJNl8sR83bh+fn5Mic5Ofmhhx4KWaKtWrUqMTFRlpk5c2YXfo/FKH2mT58u9VZKSsp3vvMdq1pw9OjRsvyECROsFigpKcnLy5s/f77NfaFkzr59+yitAADRRIEVb3p1fGRmc7vw1NRUWWbMmDFduF14p8zfY5k8ebI0w/6WmG0dbPoi/62pqenhAQMAwHkUWPFGImrzE7wXOj7Fq6ys9D+jE3C78OLi4tzc3FtuucXmc8aFCxfOmTNn3bp1Vr/HIlpaWnqgfwAAxAAKrHijJ6IAAHiWnnSspp9qIgoAgGfpScdq+qkmogAAeJaedBzP/Qy40tzt5gAAoJ2edKymn2oiCgCAZ+lJx2r6qSaiAAB4lp50rKafaiIKAIBn6UnHavoJAAA8wO2KIEq09LPLovNUiKe9RG1H7MWzO2Ivnt0Re/HsjthL/GEUOhFPT0eOR8r3ErUdsRfP7oi9eHZH7CX+MAqdiKenI8cj5XuJ2o7Yi2d3xF48uyP2En8YhU7E09OR45HyvURtR+zFsztiL57dEXuJP4xCJ3iieBah8SxC41mExrMITfwhop3gSe9ZhMazCI1nERrPIjTxh4h2gie9ZxEazyI0nkVoPIvQxB8i2gme9J5FaDyL0HgWofEsQhN/iGgneNJ7FqHxLELjWYTGswhN/CGiAAAADqPAAgAAcBgFFgAAgMMosAAAABxGgQUAAOAwCiwAAACHUWABAAA4TFeB1d7eXlxc7PP50tLSSkpK5KH5rzfffHP27NkpKSlDhw7dtWtX+OvabBPhsxrGXn8vNTU1/HUJjSOshvHdd9+dO3eur4NMyMPw1yU0jrAaxubm5kWLFg0cODA9Pf2RRx6JaF1C4xTzqOU/M5zhJTRxQ1eBtX379kmTJr3XQSZ27NhhzD9x4sTw4cP37Nnz6aefnjp16rbbbgt/Xav5iEg4w/jUU0+tWrUq/HUJjSOshnH69Olr165t7vDggw/Kw/DXJTSOsBrGwsLCgoKCjzrccsstzz//fPjrEhpnBRRY4QwvoYkbugosyQEHDhwwpmVixowZxrRUVFu2bAm5ivnysFrXaj4i0ukwfv7556NGjfrggw/MOYQmOqyGsX///mfOnDGm//znP8tDcxVCEx1Wwzho0KCPP/7YmJYaKzc311yF0ERZQIFlM7yEJv7oKrBSU1ObmpqM6dOnT/t8PmN6yJAhDz/8cGZm5sCBAxctWiTvyM1VzCe91bpW8xGRTodR3q7dfffd/nMITXRYDeOCBQvWrVv32WefyeultLRUHpqrEJrosBpGKbDkoTEtlZb/8BKaKAsosGyGl9DEH10FVmJi4rlz54xpmejdu7cxLRMLFy78uENBQUFhYWH461rNR0Tsh/GLL7740pe+dPz48YjWJTSOsBrGDz74YOTIkcZVJjLx4Ycfhr8uoXGE1TDeeeedd9xxh3FAu/3225OSksJfl9A4K6DACmd4CU3c0FVg2bwz8H/Dl56eHtG6vKvoPvthLC8vv/HGGyNdl9A4wmoY8/PzH3zwQfMaLHkY/rqExhFWw/inP/1J6qq0tLQhQ4Z8//vfz8jICH9dQuOs8M9gdboMoYk5ugosq8+wc3Nz/S9ZCFlg8bl4j7IfxokTJ7766quRrktoHGE1jP369bO6BqvTdQmNI8IZxq1bt0qxFf66hMZZ4V+D1ekyhCbm6Cqwtm3bFvJbGLt27TLPqBcUFPhf62O+PKzWtZqPiNgM4/79+7/yla8Er0JoosNqGOVwX1paapzBeuihh0JerktoepTVMMrRrKGhQeLywgsvDB8+/O233zZXITRRFlBg2QwvoYk/ugqs9vb21atXG3fuWbNmjf99RNatW5eenp6WlnbnnXeGvMjdal2bbSJ8NsOYm5tbUVERvAqhiQ6rYXznnXfmzJnzDx2uu+66kydPmqsQmuiwGkZ5xzh06ND+/fvPmjXryJEj/qsQmqgJuIefMdNmeAlN/NFVYAEAAEQBBRYAAIDDKLAAAAAcRoEFAADgMF0F1iuvvDJz5szk5OTMzMzFixd/8sknxvxIf1zTajsBuvPb0oaQPxdqaGpqGj58eMh/AQAAd+lKz7NmzTpw4EBLS8vHH3+8dOnSG264wZgf6Y9rWm0nQHd+W9pfyCpq+fLljz/+OAUWAAAepDc9nzlzJiUlxZjuzo3d/LcToAu/LR1ScBV1/PjxMWPGtLa2UmABAOBBetNzRUVFXl6eMd2dnybw306ALvy2dEjBVdT111//k5/8JOS/AACA65Sm5yNHjowaNerEiRPGwy7/uGbAdgJ057el/QVUUb/61a+mTp1qXNFFgQUAgAdpTM9VVVUjRox47bXXzDldO4MVvJ2Aa9Ij/W1pq0vaA+aMHz++uro65L8AAIAXqEvP5eXlQ4cOff311/1nduEarJDbCdCd35b2F1BF9QpivzoAAIgyXbl58+bNI0aMqK2tDZgf6Y9rWm0nzM3a/LZ0SDYlFNUVAAAepCs9B5/7aWlpuRD5j2tabSdAF35b2r7BIRfozoAAAICeQHoGAABwGAUWAACAwyiwAAAAHEaBBQAA4DAKLAAAAIdRYAEAADiMAgsAAMBhFFgAAAAOo8ACAABwGAUWAACAwyiwAAAAHEaBBQAA4DAKLAAAAIf9P9FIr6USVah6AAAAAElFTkSuQmCC)
| VMR Tools created by Darren De Zeeuw. |